The past few years have seen several flashy demonstrations of how artificial intelligence (AI) algorithms may transform biomedical research, particularly with respect to drug discovery.
The past few years have seen several flashy demonstrations of how artificial intelligence (AI) algorithms may transform biomedical research, particularly with respect to drug discovery.
Life science researchers and drug discovery scientists today work in what, in my view, will be remembered in the future as the beginning of a “golden era” where the power of genetic information is connected to a wide range of other healthcare and lifestyle data to support better understanding of
More sensitive technology spurs proteomic and metabolomic biomarker identification, clinical use. (Complete article on page 21)
Paradigm4’s Marilyn Matz and Zachary Pitluk discuss the challenges of integrating data from heterogeneous sources and how the company’s plaform and apps combine the cutting edge of computer science and a sensibility geared toward the unique needs of pharma and biopharma to provide end-to-end solutions.