AI-based, digital pathology startup Proscia Inc. has partnered with the University of California at San Francisco (UCSF) to advance the practice of pathology via artificial intelligence (AI). The pair will start with prostate cancer and then plan to move on to validate approaches in several additional pathology subspecialties.

BEIJING – More and more companies and researchers in China are rolling out artificial intelligence (AI)-based systems that can process hundreds of computed tomography (CT) images in seconds to speed up diagnosis of COVID-19 and assist in its containment.

LONDON – Consumer smartphone apps that use image processing algorithms to assess and monitor potentially cancerous skin lesions have not been properly tested in clinical trials and cannot be relied on to produce accurate results, according to a systematic review of published studies.

ANAHEIM, Calif. – Is artificial intelligence (AI) ready for prime time in health care? What’s hype and what’s real? That’s the question that was posed to an expert panel at MD&M West.

Multiple tactics employed by the biopharma industry to improve the recruitment and retention of participants in clinical trials seem to be paying off. More than three of four (77%) studies now fully enroll on or ahead of schedule, according to researchers at the Tufts Center for the Study of Drug Development (CSDD), reporting in the January/February Tufts CSDD Impact Report on global recruitment performance benchmarks.

PARIS – EY SAS has published the results of the first edition of a barometer dedicated to the role of artificial intelligence (AI) in French public hospitals. The health care sector, which is undergoing wholesale change in France, is suffering tight economic constraints and faces ever-increasing expectations from patients. “The development of [AI] in France is a priority. It's a matter of gauging it,” Loïc Chabanier, an EY partner responsible for health care, told BioWorld.

What does the landscape look like in terms of funding for digital health? Geoffrey Starr, a partner at Cooley LLP, dove into this question during the Digital Health Summit, part of CES 2020. He acknowledged that 2019 saw a slight dip in funding compared with the record-breaking previous year. With that said, it was the second largest year ever for digital health care financings, with more than one-third of all health care venture financings involving digital health technologies.

Artificial intelligence (AI) is better than humans at pattern recognition within images and other densely complex datasets. That fact has long been expected to translate into meaningful change in the way we interpret health care data, but beyond a few early exceptions that is not yet the case. Now, the research is starting to amass that demonstrates the real potential for machine learning to significantly improve diagnostics and treatment.

The next wave of drug discovery is being enabled by artificial intelligence (AI). This fact has not been lost on investors, who are keeping a close watch on emerging biopharma companies that are using AI and machine learning to enable the discovery of next-generation medicines.