As new technologies emerge and extend the capabilities of physicians, researchers and scientists, the landscape of healthcare is also bound to change. One such example is machine learning, in which a ...
Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...
A multi-institutional research team has demonstrated how artificial intelligence and machine learning can optimize therapy selection and dosing for septic shock, a life-threatening complication that ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
The Division of Infectious Diseases celebrates a paper published documenting antibiotic stewardship efforts here at UAB. The publication by first-author Rachael Lee, MD, with senior author Pete Pappas ...
Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.
Sepsis, a life-threatening organ dysfunction caused by a dysregulated host response to infection, remains a major global health challenge with high ...
Although clinical decision support systems using machine learning will likely add valuable improvements to healthcare processes in the next few years, developers must also consider their potential ...
Decision brings precision medicine in psoriasis to all 50 states About Mind.Px Mind.Px is a predictive test that uses a ...
Medicine and artificial intelligence are ever-evolving fields at the forefront of scientific discovery. A new Cornell research group — Machine Learning in Medicine — aims to coalesce the two, with the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results