To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of ...
Individual patient data (IPD) analysis of early PSA nadir in ARASENS, LATITUDE, and TITAN: Training and validation of a novel model. Assessing genomic instability (GI) by shallow whole-genome ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
Preparing cancer patients for difficult decisions is an oncologist’s job. They don’t always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...
Emedgene, a startup that employs artificial intelligence to interpret genetic data, has closed a $6 million round led by OliveTree Ventures. Trained using data from patient cases, publications and ...
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