Washington State University: WSU students create database to accelerate skin science. “The website — skinregeneration.org — was created for researchers but allows anyone to cross-compare information on more than 33,000 genes from different species as they relate to skin development, wound repair, and regeneration. Ultimately, it could help scientists reprogram adult skin for regeneration during wound healing and to inhibit the aging process.”
Tag Archives: medical research
Introducing Pebblescout: Index and Search Petabyte-Scale Sequence Resources Faster than Ever (National Library of Medicine)
National Library of Medicine: Introducing Pebblescout: Index and Search Petabyte-Scale Sequence Resources Faster than Ever. “NCBI is excited to introduce Pebblescout, a pilot web service that allows you to search for sequence matches in very large nucleotide databases, such as runs in the NIH Sequence Read Archive (SRA) and assemblies for whole genome shotgun sequencing projects in Genbank – faster and more efficiently!”
University of Michigan: AI tool helps optimize antibody medicines
University of Michigan News: AI tool helps optimize antibody medicines. “Antibody treatments may be able to activate the immune system to fight diseases like Parkinson’s, Alzheimer’s and colorectal cancer, but they are less effective when they bind with themselves and other molecules that aren’t markers of disease. Now, new machine-learning algorithms developed at the University of Michigan can highlight problem areas in antibodies that make them prone to binding non-target molecules.”
Newswise: AI more accurately identifies patients with advanced lung cancer that respond to immunotherapy and helps doctors select treatments
Newswise: AI more accurately identifies patients with advanced lung cancer that respond to immunotherapy and helps doctors select treatments. “Treatment planning for lung cancer can often be complex due to variations in assessing immune biomarkers. In a new study, Yale Cancer Center researchers at Yale School of Medicine used artificial intelligence (AI) tools and digital pathology to improve the accuracy of this process.”
Stanford University: Stanford Ethicists Developing Guidelines for the Safe Inclusion of Pediatric Data in AI-Driven Medical Research
Stanford University: Stanford Ethicists Developing Guidelines for the Safe Inclusion of Pediatric Data in AI-Driven Medical Research. “…the international SPIRIT-AI and CONSORT-AI initiative has recently established guidelines for AI and machine learning in medical research. These frameworks, however, have not outlined specific considerations for pediatric populations. Children present uniquely complex data quandaries for AI, especially regarding consent and equity.”
Stanford Medicine: New AI tool for pathologists trained by Twitter (now known as X)
Stanford Medicine: New AI tool for pathologists trained by Twitter (now known as X). “The most impressive uses of artificial intelligence rely on good data – and lots of it. Chatbots, for example, learn to converse from millions of web pages full of text. Autonomous vehicles learn to drive from sensor data recorded on millions of road trips. For highly technical tasks, like understanding medical images, however, good data sets are harder to find. In a new study, Stanford Medicine researchers have trained an AI-powered algorithm on a treasure trove of high-quality, annotated medical images from a surprising source – Twitter, now known as X.”
Cardiff University: Understanding all disease prevalence in the UK
Cardiff University: Understanding all disease prevalence in the UK. “A new website gives the public, health professionals and researchers easy access to data about the prevalence of all diseases in the UK, marking a landmark achievement for global health information analysis.”
Oregon State University: FDA approving drugs after fewer trials, providing less information to public, OSU studies find
Oregon State University: FDA approving drugs after fewer trials, providing less information to public, OSU studies find. “The U.S. Food and Drug Administration is approving more novel pharmaceutical drugs based on single clinical trials and with less public disclosure about those trials than was the norm just a few years ago, a pair of recent studies from Oregon State University found. Researchers agree it is important to minimize delays in making treatments for diseases such as cancer available to patients, but they say their findings point to a need for greater transparency around how drugs receive approval.”
Harvard Gazette: The eye as we’ve never seen it
Harvard Gazette: The eye as we’ve never seen it. “In a culmination of more than a decade of research, Harvard scientists have completed a detailed analysis that could not only light the way to better, more targeted gene therapies for blindness, but also inspire a new appreciation for the vast complexity of human vision. The team, led by neurobiologist Joshua Sanes, has authored a complete catalog of the nearly 160 cell types found across all the structures of the human eye, as well as an inventory of the genes each cell type expresses.”
UC Davis: UC Davis Researchers Exploring Data and AI Tools for Animal Health Diagnosis and Treatment
UC Davis: UC Davis Researchers Exploring Data and AI Tools for Animal Health Diagnosis and Treatment. “The rise of AI based technology may play an important role in human healthcare from diagnostics to treatment. Using a data-driven approach, AI may be able to help doctors analyze and assess diseases more efficiently. Researchers at the University of California, Davis, are now exploring ways to use AI for the benefit of animal health.”
The Register: Google, you’re not unleashing ‘unproven’ AI medical bots on hospital patients, yeah?
The Register: Google, you’re not unleashing ‘unproven’ AI medical bots on hospital patients, yeah?. “Google is under pressure from a US lawmaker to explain how it trains and deploys its medical chatbot Med-PaLM 2 in hospitals. Writing to the internet giant today, Senator Mark Warner (D-VA) also urged the web titan to not put patients at risk in a rush to commercialize the technology.”
Government of Western Australia: Secure linked data to improve wellbeing of Western Australians
Government of Western Australia: Secure linked data to improve wellbeing of Western Australians. “Up to 75 million unique records containing current and archival data have been linked for the first time as part of a new data linkage platform. Launched today, PeopleWA will revolutionise the way researchers access data, helping to address the State’s most complex social, health, environmental and economic issues.”
Hearing Review: HearingYou.org Portal Provides Hearing Health Data to Public
Hearing Review: HearingYou.org Portal Provides Hearing Health Data to Public. ” It has been launched by the European Hearing Instrument Manufacturers Association (EHIMA) to provide a global audience with information on all aspects of hearing health, including hearing loss prevention and rehabilitation, and to support effective policy measures against hearing loss. The centerpiece of the site is a data hub with the latest research, scientific evidence, facts, and figures on the prevalence of hearing loss; its economic impact; and how hearing loss is linked to chronic diseases such as dementia.”
Yale News: Yale researchers encourage brain data reuse with CAROT
Yale News: Yale researchers encourage brain data reuse with CAROT. “The ability to map connections between different regions of the brain has helped scientists better understand the brain’s relationship to behavior, how brains differ between people, and how they’re affected by disease. These maps, called connectomes, consist of imaging data superimposed on atlases that define the locations and borders of different brain regions. But there are many different versions of brain atlases, and a connectome built on one can’t be directly compared to one built on another. In a new study, Yale researchers have developed a publicly available tool that allows for those comparisons.”
MIT News: Gamifying medical data labeling to advance AI
MIT News: Gamifying medical data labeling to advance AI. “Through the app, users review anything from images of potentially cancerous skin lesions or audio clips of heart and lung sounds that could indicate a problem. If the users are accurate, Centaur uses their opinions and awards them small cash prizes. Those opinions, in turn, help medical AI companies train and improve their algorithms.”