DMHTs sit within a broader wave of digital health technologies, helping manage a range of issues such as asthma with smart ...

Abstract: The exponential growth of clinical data in electronic health records (EHRs) has posed significant challenges for health care professionals in delivering accurate and timely patient-centered ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...

Drug diversion remains a persistent challenge for hospitals and health systems, putting both patient safety and workforce wellbeing at risk. The impact doesn’t stop there – diversion can also create ...

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Background: Depression is a major public health concern, affecting an estimated five percent of the global population. Early and accurate diagnosis is essential to initiate effective treatment, yet ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...