Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
A multi-institutional team of researchers led by Virginia Tech’s Fralin Biomedical Research Institute has for the first time ...
City of Hope Research Spotlight offers a glimpse into groundbreaking scientific and clinical discoveries advancing lifesaving ...
City of Hope® Research Spotlight offers a glimpse into groundbreaking scientific and clinical discoveries advancing lifesaving cures for ...
A study finds protein markers in umbilical cord blood that are linked to later development of type 1 diabetes. The results ...
Governance and regulation constitute the fifth element. The authors argue that public health AI requires dedicated oversight mechanisms addressing transparency, explainability, data protection, and ...
The field of infectious disease epidemiology is continually challenged by the emergence and re-emergence of pathogens, which ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Google DeepMind, the artificial intelligence subsidiary of Alphabet, has made another leap in its efforts to illuminate human biology: progress toward using AI to interpret the many still-mysterious ...
Real-world evidence (RWE) empowers payers and providers to make more informed, cost-effective treatment. Read more here: ...
IEEE Spectrum on MSN
AlphaGenome deciphers non-coding DNA for gene regulation
Deep-learning model decodes the regulatory effects of DNA changes ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results