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AI patents by country 2012-2022 (infographic)
- By Nuadox Crew -
This infographic displays the annual count of AI-related patents issued from 2012 to 2022.
The utilized data is sourced from the Center for Security and Emerging Technology (CSET) and are included in Stanford University's 2024 AI Index Report.
Source: Marcus Lu, Clayton Wadsworth, Visual Capitalist
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In a world first, South Africa grants patent to an artificial intelligence system
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US government to provide Micron with $6.1B for chip manufacturing facilities
- By Nuadox Crew -
The U.S. Department of Commerce has proposed providing up to $6.14 billion in funding to Boise, Idaho-based Micron Technology under the CHIPS and Science Act.
This initiative aims to enhance U.S. competitiveness in semiconductor production by supporting the construction of two new Dynamic Random-Access Memory (DRAM) fabs in New York and Idaho.
This investment is part of Micron's broader vision to invest around $100 billion over the next two decades, potentially creating approximately 20,000 jobs and catalyzing up to $125 billion in private capital.
The funding will facilitate the first phase of a plan involving a $25 billion investment in Idaho for a DRAM production facility, expected to create about 6,500 jobs. It will also help start the development of a megafab complex in New York with the capacity for four fabs, estimated to create roughly 13,500 jobs. These facilities aim to increase Micron's domestic production of DRAM chips to about 40% over the next 20 years.
This strategic move aims to bolster the U.S. position in high-tech industries reliant on advanced memory technology, such as AI, wireless communications, and computing. It also aims to enhance national and economic security by reducing dependence on overseas chip manufacturing.
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Source: U.S. Department of Commerce
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US: TSMC receives $6.6B in funding for chip manufacturing from the Biden administration
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Biotech: Xaira Therapeutics raises $1 billion in funding
- By Nuadox Crew -
U.S.-based Xaira Therapeutics, a newly launched biotechnology company, aims to revolutionize the drug discovery and development process by leveraging advanced AI technologies.
Co-founded by ARCH Venture Partners, Foresite Labs, and Dr. David Baker of UW Medicine, Xaira launches with over $1 billion in funding.
Led by Dr. Marc Tessier-Lavigne, former Genentech CSO, the company integrates AI research, expansive data generation, and therapeutic product development to accelerate the delivery of effective therapies.
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Source: Xaira Therapeutics
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This AI model directly compares the properties of prospective new pharmaceuticals
#medtech#biotech#drug discovery#medicine#Xaira Therapeutics#pharma#health tech#ai#artificial intelligence
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Top 10 EV battery manufacturers in 2023 (infographic)
- By Nuadox Crew -
This infographic lists the top 10 electric vehicle battery manufacturers ranked by their total battery deployment in megawatt-hours for the year 2023.
The utilized data comes from EV Volumes. Chinese firms clearly dominate the industry.
Source: Bruno Venditti, Sam Parker, Visual Capitalist
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The cost of EV batteries relative to total cost of vehicle (infographic)
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Consortium including Brazilians sequences the reference genome of Arabica coffee
- By Karina Ninni , Agência FAPESP -
Coffee is one of the world’s most traded commodities, and Coffea arabica is the most widely consumed of the 130 or so species that exist. It is the result of the fusion of two other species: Coffea canephora (known in Brazil as Conilon or Robusta coffee) and Coffea eugenioides. In the last decade, almost every major commodity in the world has had a reference genome sequenced, but coffee has only recently joined the list.
The reference genome is essential for developing varieties that are better adapted to climate change and resistant to disease. By sequencing the reference genome of Arabica coffee in an unprecedented endeavor, a consortium of scientists was able to select genes that may be responsible (candidate genes) for coffee’s resistance to rust and other diseases. At the same time, they identified the expression of some genes related to the aroma of Arabica.
“With the knowledge of the genome, it is possible to obtain information that allows us to go in two directions: the development of varieties by directing crossbreeding, in other words, as a reference to guide us in future crossbreeding that produces new varieties; and more direct interventions, such as modifying a gene specifically,” summarizes Douglas Domingues, currently a researcher at the Plant Genomics and Transcriptomics Group of the Luiz de Queiroz School of Agriculture at the University of São Paulo (ESALQ-USP), in Brazil, and one of the authors of the paper (developed when he was still working at the Rio Claro campus of the São Paulo State University).
According to him, there was a bit of a race to sequence the genome. “The price of sequencing has come down a lot, and coffee was one of the few commodities that hadn’t had its reference genome sequenced. There were other groups trying, and there was a paper published just before ours. But most of them used the standard strategy: choosing an interesting plant for cultivation and sequencing its genome,” he reports.
The group to which Domingues belongs has sequenced a plant that is not interesting from an agronomic point of view but has a lot to offer from a genetic point of view. “The advantage of our reference genome is that it’s derived from a ’dihaploid’ individual. This results in a homogeneous reference genome that will be a superior standard for future research,” explains Patrick Descombes, coordinator of the work and senior expert in genomics at the Nestlé Institute of Food Safety & Analytical Sciences. He explains that Arabica coffee is a tetraploid: it has two genomes in one because it is the fusion of two other species.
By sequencing a dihaploid derived from Arabica coffee compared to a common tetraploid variety, scientists get a clearer and more simplified view of the genome. This makes it possible to identify variations between similar genes with greater precision, facilitating the use of molecular information for improvement studies.
In this study, the group was able to determine more precisely when this fusion took place: no more than 600,000 years ago, C. canephora and C. eugenioides fused to form this tetraploid hybrid, which continued its evolutionary path. “We came to this conclusion using DNA information from Arabica, Robusta and Eugenioides: we were able to make a more accurate inference because previously this interval was dated at between 50,000 and 1 million years. We reduced that window to 350,000 to 600,000 years,” reports Domingues.
The article, published in Nature Genetics on April 15, was the result of a consortium of scientists from more than ten countries, including Brazil, which participated with more than one institution. In Domingues’ case, his participation was partially funded by FAPESP through a Young Researcher project and a postdoctoral fellowship awarded to Suzana Tiemi Ivamoto-Suzuki, also an author of the article.
“We used the reference sequence to understand the diversity that exists in wild Arabica coffees, from the African region of origin, and compare this with the Arabica coffees that are cultivated today,” says the ESALQ-USP scientist, explaining that the group resequenced Arabica coffee varieties planted in different parts of the world, as well as wild specimens collected in the forests of Ethiopia, and managed to understand the difference between the wild and cultivated ones.
To gain a genomic perspective on the evolutionary history of Arabica, the consortium sequenced 46 accessions, including three Robusta, two Eugenioides and 41 Arabica. The latter included an 18th-century type specimen (the physical specimen designated by the author of the taxon at the time of the description as the material on which it was based), 12 cultivars with different breeding histories, the Timor hybrid (a spontaneous cross of Arabica with the pest-resistant C. canephora Robusta variety) and five of its backcrosses with Arabica and 17 wild accessions plus three wild/cultivated ones collected from the east and west sides of the Great Rift Valley in Ethiopia.
“We used the latest genomic technologies, i.e. long reads from the high-fidelity PacBio system [for gene sequencing] and proximity ligation with short reads from Illumina [an integrated system for analyzing genetic variation and biological function], to generate the chromosome assembly. This combination resulted in a chromosome-level assembly of the highest quality and integrity,” says Descombes.
Diseases
According to the ESALQ-USP professor, among the cultivated species, something very important for breeding was the introduction of genes for resistance to coffee leaf rust. “In the 1930s, Brazil played an important role in this regard. And the IAC [Agronomic Institute of Campinas, also in the state of São Paulo] is a pioneering center for studies and breeding. IAC researchers provided us with plants that predate the institution’s breeding program, which dates back to the 1930s. Disease-oriented breeding emerged between the 1960s and 1970s, and the main work was to cross a rust-resistant Arabica plant, the so-called Timor hybrid, with plants grown in various countries so that the new varieties would be resistant. But it wasn’t known which genes were responsible for the resistance.”
Discovered in the fields of Timor Island in the 1920s, the Timor hybrid is naturally resistant to rust and other diseases. “In addition to rust, coffee berry disease, coffee berry borer and coffee stem borer are three other major pests affecting production in many regions of the world. Climate change is also a key concern in the control of pests and diseases, as it allows them to spread to new regions. The trade of green coffee beans between different regions is another factor that can facilitate the spread of certain pests and diseases to new areas,” reveals Maud Lepelley, manager of the Plant Genetics and Chemistry group at the Nestlé Institute of Agricultural Sciences.
In the paper now published, the group has managed to find sets of genes already linked in the literature to disease resistance that are only present in post-improvement varieties. “Somehow the Timor hybrid managed to get these resistance genes, and now we know which ones. There are dozens of them, but we’ve narrowed the search. Arabica coffee has 69,000 genes; we’ve narrowed it down to just under 30 genes. Being able to identify these candidate resistance genes, which were previously unknown, is an unprecedented achievement in our research,” points out Domingues.
But the work is far from over, as these genes have yet to be tested. “More research will be needed to identify and create varieties that are resistant to these and other coffee pests and diseases,” says Lepelley.
Using molecular genetics, the consortium was also able to make a triple separation, showing that the genetic diversity of Ethiopia’s wild plants differs from that of the coffee grown today, probably due to a bottleneck effect and domestication, as few plants were selected for this process. “We’ve shown here that the genetic diversity was already very low among wild specimens due to multiple pre-domestication bottlenecks, and that the genotypes selected for cultivation by man, both the ancient local Ethiopian varieties and the more recent ones, were already somewhat mixed between divergent lineages,” the scientists state.
Aroma
At the same time, Domingues’ group was able to observe some events related to the expression of genes linked to coffee quality, especially aroma. They studied the terpene synthase enzymes, which in plants are related to defense against insects, as well as a gene related to lipid compounds in coffee, which codes for fatty acid desaturase 2.
“We observed in an Asian Arabica variety that the genes associated with aroma and flavor are expressed more in the fruit by the C. eugenioides subgenome than by the other parent. In other words, one of the genomes contributes more to the sensory characteristics of the drink than the other. What we’re wondering now is: does this apply to all the varieties we’ve sequenced, both pre- and post-improvement?” says Domingues.
“This study sheds light on how interactions between C. canephora and C. eugenoides genes are associated with Arabica coffee traits such as aroma. Elucidating the interactions between genes helps to improve our knowledge of the genetic mechanisms underlying important characteristics of Arabica, a fundamental prerequisite for developing new varieties that will guarantee the production of coffee beans for future coffee products,” says Lepelley.
A spin-off of the work is already underway, according to Domingues. “I’ve just started another project, which is an offshoot of this first effort, in partnership with the French researchers who were part of this consortium. We’re now going to analyze non-cultivated coffee species. We want to get to know the genome of non-coffee species that contain characteristics that are relevant in a climate change scenario. We’re focusing on sequencing species that are more climate resilient. We want to know what genes they have that Arabica coffee doesn’t have and that make them climate-resistant. Eventually, we could introduce or modify them through gene editing to make cultivated species more resistant.’
The article “The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars” can be accessed at: www.nature.com/articles/s41588-024-01695-w.
This text was originally published by FAPESP Agency according to Creative Commons license CC-BY-NC-ND. Read the original here.
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Researchers analyze performance of bacterium in combating coffee rust
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Tracing the origins of metastatic cancer cells through the use of artificial intelligence
- By Nuadox Crew -
A collaborative effort between cancer researchers from institutions in China and the U.S. has yielded promising results in the realm of cancer diagnosis and treatment. Their study, recently published in Nature Medicine, focused on harnessing the power of artificial intelligence to trace the origins of metastatic cancer cells within the human body.
Metastatic cancer poses significant challenges in treatment due to its ability to spread to remote parts of the body before being detected. To address this issue, the research team explored whether AI applications could outperform traditional methods in identifying and characterizing cancer cells found in bodily fluid samples.
Traditionally, lab technicians analyze these samples to identify metastatic cancer cells and determine their origin, guiding subsequent treatment strategies. However, human error and limitations in expertise can lead to inaccuracies in this process. The researchers sought to overcome these limitations by training an AI model with a vast dataset comprising 30,000 images of metastatic cancer cells from patients with identified primary tumors.
The AI demonstrated impressive accuracy, achieving an 83% success rate in spotting and identifying tumor types in an additional 27,000 test images. Notably, the AI's performance surpassed that of human lab technicians in various metrics, indicating its potential as a superior tool for cancer diagnosis.
Moreover, the study revealed a correlation between patients who received tailored treatments based on the AI's findings and improved survival rates. This finding underscores the potential clinical impact of AI-driven approaches in cancer care, suggesting that early and accurate identification of metastatic cells could lead to more effective treatment strategies and ultimately prolong patient survival.
Image: Proposed TORCH model framework. Credit: Nature Medicine (2024). DOI: 10.1038/s41591-024-02915-w
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Source: Bob Yirka , Medical Xpress
Full study: Fei Tian et al, Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning, Nature Medicine (2024). DOI: 10.1038/s41591-024-02915-w
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Proof of concept: AI model successfully identifies 90% of cases of lymphatic cancer
#cancer#oncology#ai#artificial intelligence#medtech#health tech#china#usa#medicine#health#health informatics#deep learning
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The Evolution Technology Fund III LP represents the largest cybersecurity-focused fund raised thus far
- By Nuadox Crew -
New York-based Evolution Equity Partners has successfully closed its Evolution Technology Fund III, LP, with total capital commitments reaching $1.1 billion.
The fund aims to support entrepreneurs in the cybersecurity sector, focusing on companies using machine learning and AI to advance digital security.
The fundraising effort attracted support from existing and new investors, including institutions, sovereign investors, and high-net-worth individuals.
Evolution Equity Partners has a portfolio of over 60 companies, including notable investments like SecurityScorecard and Snyk.
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Source: Evolution Equity Partners
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What is LockBit, the cybercrime gang hacking some of the world’s largest organisations?
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US: Samsung Electronics to get $6.4B for Texas chip plants
- By Nuadox Crew -
The Biden-Harris Administration, in partnership with Samsung Electronics, has proposed an investment of up to $6.4 billion under the CHIPS and Science Act to bolster the U.S. semiconductor supply chain and enhance technology leadership.
This investment, alongside Samsung's commitment of over $40 billion, aims to establish a semiconductor cluster in Taylor, Texas, and expand facilities in Austin.
The plan includes the creation of leading-edge logic fabs, an R&D fab, and an advanced packaging facility, generating over 20,000 jobs.
The investment aligns with the CHIPS for America initiative, focusing on domestic semiconductor manufacturing, job creation, and community development.
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Source: U.S. Department of Commerce
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US: TSMC receives $6.6B in funding for chip manufacturing from the Biden administration
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Report: Global smartphone market experiences a 7.8% increase in first quarter of 2024
- By Nuadox Crew -
In the first quarter of 2024, global smartphone shipments increased by 7.8% compared to the previous year, reaching 289.4 million units as per a new IDC report.
Despite ongoing economic challenges in various markets, this marks the third consecutive quarter of growth, indicating a steady recovery in the smartphone industry.
Samsung reclaimed its position as the leading smartphone provider, surpassing Apple.
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Source: IDC
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Report: In Q422, smartphone shipments experienced the most significant decrease ever
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Brazilian scientists design innovative heart valve
- By Agência FAPESP* -
In Brazil, researchers from the University of São Paulo (USP) and the State University of Campinas (UNICAMP) are trying to perfect the Wheatley aortic valve, a device that could improve the lives of millions of people affected by aortic stenosis, a narrowing of the aortic valve opening that blocks the flow of blood from the left ventricle to the aorta.
Aortic stenosis is common among the elderly, and in severe cases, the only viable alternative to improve the patient's quality of life is to replace the dysfunctional natural valve with an artificial one.
The studies have already won the 2023 USP Post-Doc Award in the field of exact and earth sciences for UNICAMP professor Hugo Luiz Oliveira, a member of the research group.
The improvement of the Wheatley aortic valve is important because it should eliminate the need for anticoagulant medication in the post-operative period, as is the case with other polymer valves.
Anticoagulants are used to “thin” the blood, i.e. they prevent the formation of clots and facilitate blood flow. This type of drug treatment requires extreme patient care and attention, especially when bleeding occurs which can lead to other complications.
The research, developed within the scope of the Center for Mathematical Sciences Applied to Industry (CeMEAI), consists in the computational modeling of the device that replaces the natural aortic valve in patients with severe cases of the disease. CeMEAI is a Research, Innovation and Dissemination Center (RIDC) supported by FAPESP and based at the Institute of Mathematical and Computer Sciences of the University of São Paulo (ICMC-USP), São Carlos campus.
CeMEAI's research focuses on the Wheatley aortic valve, created in 2012 by Scottish professor and cardiac surgeon David Wheatley because the inventor himself felt the need to better understand the mathematical and computer model of the device. The study opportunity for the Brazilian researchers came about when Professor Wheatley contacted Sean McKee of the University of Strathclyde, also in Scotland, UK. McKee, in turn, contacted a former doctoral student under his supervision, USP professor José Alberto Cuminato, coordinator of CeMEAI, who is currently on the faculty at Strathclyde.
Process steps
A high-fidelity computer model not only reduces the time required to design the valve and its internal mechanisms but also the cost of physical prototyping and experimental testing.
The CeMEAI team set out to create a computer model of the Wheatley valve in order to reproduce its mechanical behavior under operating conditions. This allows any improvements that may be made to be tested virtually, without the need to produce new parts for each proposed change.
The experiments aim to ensure that the valve opens and closes quickly and that the shear stress in the blood flow is always above a critical limit. In this way, the system prevents the formation of thromboses and guarantees a longer service life for the device compared to conventional valves.
To achieve the proposed result, the researchers tested several software packages. The option that best met the needs of the research project was the LS-DYNA solver, which allowed the mechanical and fluid dynamic performance of the Wheatley aortic valve to be reproduced on the computer under controlled flow and pressure conditions.
*With information from CeMEAI's Communications Office.
This text was originally published by FAPESP Agency according to Creative Commons license CC-BY-NC-ND. Read the original here.
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Header image: Models of the Wheatley aortic valve, which the Brazilian researchers were able to model on a computer. Credit: Jornal da USP.
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The FDA has approved Abbott’s novel dual chamber leadless pacemaker
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AI accelerates retinal imaging by a factor of 100 compared to manual approach
- By Nuadox Crew -
Researchers at the National Institutes of Health (NIH) have enhanced a cell imaging technique used to study retinal diseases like age-related macular degeneration (AMD) by applying artificial intelligence.
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Video: "AI makes retinal imaging (almost) a snap" by National Eye Institute, YouTube.
Researchers at the National Institutes of Health (NIH) have enhanced a cell imaging technique used to study retinal diseases like age-related macular degeneration (AMD) by applying artificial intelligence.
They combined adaptive optics (AO) with optical coherence tomography (OCT) to achieve high-resolution images of retinal pigment epithelium (RPE) cells.
However, processing these images was time-consuming due to speckle interference. To address this, they developed a deep learning algorithm called parallel discriminator generative adversarial network (P-GAN), which significantly improved image processing speed and contrast (roughly by a factor of 100 compared to manual methods).
This advancement not only aids in understanding retinal diseases but also enhances routine clinical imaging using AO-OCT.
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Source: National Institutes of Health
Full study: Vineeta Das, Furu Zhang, Andrew Bower, et al. Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography, Communications Medicine (2024). DOI: 10.1038/s43856-024-00483-1
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New AI could predict whether or not those at high risk will develop glaucoma
#eye#eyes#ophthalmology#medtech#imaging#ai#macular degeneration#optics#tomography#health tech#artificial intelligence#deep learning#retina#aging
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Ranking semiconductor firms by market share (infographic)
- By Nuadox Crew -
This infographic lists the leading semiconductor firms according to their share of industry revenue in 2023, based on Omdia research data.
The report indicates a contraction in the semiconductor sector, showing a 9% decrease in revenue from $597.7 billion in 2022 to $544.8 billion in 2023. This downturn comes after two consecutive years of unprecedented expansion, underscoring the semiconductor market’s inherent fluctuations.
Source: Pallavi Rao, Sam Parker, Visual Capitalist
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Intel to receive $8.5B as part of CHIPS and Science Act
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A new ‘diverse health database’ has already uncovered millions of new genetic variants. Here’s how it could help create health equity
- By Victoria Masterson , World Economic Forum -
One million people from historically underrepresented ethnic and social groups are being invited to help build “one of the most diverse health databases in history”.
The $3.1 billion All of Us Research Program in the United States hopes to accelerate research that could improve health and is led by the National Institutes of Health (NIH), the main US government agency for conducting and supporting medical research.
More than 275 million genetic variants that weren’t known about before have already been uncovered, the project reports.
Genetic data must be more diverse
Until now, more than 90% of people taking part in large genetic studies have been of European origin – resulting in “a narrow understanding of the biology of diseases,” say NIH directors, which in turn has “impeded the development of new treatments and prevention strategies for all populations”.
Now, All of Us has released a genomic data set where half of the nearly 250,000 participants are of non-European genetic ancestry. And almost 80% of participants are from communities that are historically under-represented in biomedical research.
In the journal Nature, All of Us researchers also report that 46% of participants are from under-represented racial and ethnic minorities.
Ethnic diversity in genetic research unlocks new health hopes
The new genetic variants revealed through this diverse dataset can help scientists better understand the genetic influences on health and disease, “especially in communities who have been left out of research in the past,” the researchers say.
For example, almost 4 million of the newly identified genetic variants are in areas that may be linked to disease risk. And nearly 4,000 genetic variants are linked with more than 100 diseases across participants of both European and African ancestry.
One of the discoveries is around type 2 diabetes, which affects about 1 in 10 people in the US. Over 600 genetic markers – 145 of which were previously unknown – could help scientists better understand the disease, reports news site The Optimist Daily.
Racism in health widens inequalities
Discrimination in healthcare – whether it’s conscious or unconscious – is a big driver of racial health inequalities, according to medical journal The Lancet.
This includes causing avoidable disease and premature death among groups of already disadvantaged people.
For example, data shows Black or Hispanic people in the US are up to 1.8 times more likely to die from COVID-19 than white people.
A separate study in the journal Science found racial bias in health algorithms in the US had more than halved the number of Black patients recommended for extra care.
Image: Racism and discrimination can impact health outcomes, a scenario the All of Us Research Program is working to address. Credit: The Lancet.
Closing health equity gaps
Closing gaps in health and wellbeing is the core focus of the World Economic Forum’s Global Health Equity Network.
This aims to tackle the root causes of health disparities by bringing together communities, government, civil society and the private sector to drive systems change.
One of the Network’s initiatives is the Zero Health Gaps Pledge, where organizations commit to actions that will promote health equity in their operations, workforce and policies. This includes understanding the health equity needs of their workforce, measuring the impact of efforts like health and wellbeing benefits, and sharing key learnings.
Examples of health gaps include a difference in average life expectancy between Japan and the Central African Republic of more than 30 years.
Another is that more than 90% of all maternal deaths from air pollution happen in low- and middle-income countries. And in the US, Black mothers are two and a half times more likely to die than white mothers.
This article is republished from The World Economic Forum under a Creative Commons license. Read the original article.
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Survey: The state of US health equity
#health equity#diversity#health#equity#racism#healthcare#data science#health tech#dna#genetics#health it
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Scientists devise statistical framework for genetically mapping autoimmune diseases
- By Nuadox Crew -
A new study discusses the importance of understanding the genetic basis of diseases through mapping segments of the genome that drive them and how they alter gene regulation.
It highlights the challenges in constructing enhancer-gene maps due to limitations in experimental methods.
To address this, researchers from Brigham and Women's Hospital have developed SCENT, a statistical method using single-cell data to link regulatory elements to genes, aiding in identifying probable causal gene loci for common and rare diseases.
The team applied SCENT to various human tissues, developing 23 gene-enhancer maps to investigate genetic variants associated with over a thousand diseases and traits.
They found that insights into immune diseases weren't just derived from immune cells but also from cells within the affected tissues.
This approach provides valuable insights for interpreting genetic data and could aid in the development of treatments for conditions like rheumatoid arthritis and other autoimmune diseases.
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Source: Brigham and Women's Hospital
Full study: Saori Sakaue et al, Tissue-specific enhancer–gene maps from multimodal single-cell data identify causal disease alleles, Nature Genetics (2024). DOI: 10.1038/s41588-024-01682-1
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US study points to high rates of lupus in several groups
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US: TSMC receives $6.6B in funding for chip manufacturing from the Biden administration
- By Nuadox Crew -
TSMC (Taiwan Semiconductor Manufacturing Company) has signed a preliminary memorandum of terms with the U.S. Department of Commerce for up to $6.6 billion in funding under the CHIPS and Science Act.
This funding will support the construction of a third fab at TSMC Arizona, in addition to completing the first and second fabs. The first fab is set to begin production in the first half of 2025.
The investment will total over $65 billion, making it the largest foreign direct investment in Arizona's history and in a greenfield project in U.S. history.
TSMC expects to create approximately 6,000 high-tech jobs in Arizona.
The company plans to achieve a 90% water recycling rate in its Arizona fabs.
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Source: TSMC
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Intel to receive $8.5B as part of CHIPS and Science Act
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Medtech: Johnson & Johnson to acquire Shockwave Medical for $13.1B
- By Nuadox Crew -
On April 5, Johnson & Johnson (JNJ) and Shockwave Medical, Inc. (SWAV) agreed on a definitive acquisition deal where JNJ will purchase all outstanding shares of Shockwave for $335.00 per share in cash, totaling approximately $13.1 billion.
The acquisition aims to bolster JNJ's presence in cardiovascular intervention, particularly in coronary artery disease (CAD) and peripheral artery disease (PAD).
Shockwave is known for its innovative intravascular lithotripsy (IVL) technology for treating calcified arterial lesions, a significant cause of blood flow restriction and cardiac issues.
The transaction is expected to be finalized by mid-year 2024, subject to shareholder and regulatory approvals.
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Source: Johnson & Johnson
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Molecule tested at University of São Paulo proves able to mitigate heart failure
#health#medicine#health tech#medtech#medical devices#cardiology#heart disease#Shockwave Medical#johnson and johnson#ivl
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Tesla has regained its position as the leading EV company globally (infographic)
- By Nuadox Crew -
In Q4 2023, China's BYD created a stir by surpassing Tesla in sales, leading many to anticipate further decline for the once-dominant EV giant in 2024.
However, the latest Q1 2024 data unveils a significant 43% decrease in BYD sales from the previous quarter. In contrast, Tesla's sales experienced a somewhat lesser decline of 20%.
> View full size image
> Full size image
Source: Marcus Lu, Miranda Smith, Visual Capitalist
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EVs vs hybrids in the US (video)
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