Texas Biomed will help map the developing brain with unprecedented detail for the National Institutes of Health’s BRAIN Initiative Cell Atlas Network (BICAN). NIH recently awarded a total of $500 million to 11 teams that will work together to build a 3D brain atlas at single cell resolution over the next five years.
€9 Million to Develop Europe's AI-on-Demand Platform
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The European Commission has financed a consortium to develop the next phase of Europe's strategically important artificial intelligence (AI) infrastructure known as the AI-on-demand (AIOD) platform.
Through the Horizon Europe Programme (Artificial Intelligence and Robotics), the AI4Europe project, led by Irish University College Cork (UCC) has been awarded €9 million to develop the platform.
Telemedicine Reduces Odds of No-Show Clinic Visits by More than Two-Thirds for Surgical Patients
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Surgical patients who use telehealth services are much more likely to show up for their initial clinic visit or follow-up appointment during the post-surgery period than those who rely on in-person visits only. Research findings were presented at the Scientific Forum of the American College of Surgeons (ACS) Clinical Congress 2022.
Passive smartphone monitoring of people’s walking activity can be used to construct population-level models of health and mortality risk, according to a new study publishing October 20th in the open access journal PLOS Digital Health by Bruce Schatz of University of Illinois at Urbana-Champaign, USA, and colleagues.
A New AI Model can Accurately Predict Human Response to Novel Drug Compounds
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The journey between identifying a potential therapeutic compound and Food and Drug Administration approval of a new drug can take well over a decade and cost upwards of a billion dollars. A research team at the CUNY Graduate Center has created an artificial intelligence model that could significantly improve the accuracy and reduce the time and cost of the drug development process.
With the help of speech tests, an initial diagnosis of severe neurodegenerative diseases should be possible in the future. Researchers at the DZNE are developing so-called digital biomarkers for this purpose - these are criteria that an artificial intelligence can use to detect whether a patient's speech pattern has changed as a result of a disease. The technology manages to detect even slightest speech changes that are inaudible to the human ear.
When struggling to conceive, every second that ticks by feels precious. That makes it easy to get discouraged: 65 percent of those who seek fertility care eventually discontinue treatment, the majority due to stress. That's why Penn Medicine recently instituted a telemedicine-driven program aimed at seeing patients more quickly and starting treatments sooner.