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Also, Seegene will be leveraging Microsoft's AI to advance the development of syndromic quantitative PCR diagnostic tests globally.

Bicycle Health patients can connect to therapists outside the realm of opioid use disorder, and Talkspace patients will have access to opioid use disorder specialty care.

Amazon Web Services chief medical officer Dr. Jared Saul relays how AWS helps the life sciences sector leverage AI and machine learning for drug discovery, concerns around AI/ML use in healthcare, and the value of regulating the technology.  

This comes three months after getting regulatory approval from Singapore’s Health Sciences Authority for its latest digital twin solution.

The diabetes-focused company provides endocrinologists with tools to implement value-based care, collect data, and improve revenue growth and patient engagement.

Ankit Gupta, Bicycle Health CEO and founder, discusses how the company helps formerly incarcerated individuals access buprenorphine monthly injections for opioid use disorder via the Federal Bureau of Prisons and residential reentry centers.  

Despite the hype, this buzzing AI will still have to prove its worth for Asia's cautious hospitals, says one health tech vendor.

The Maryland-based company offers virtual and in-person primary care, behavioral health and social care services to underserved populations with complex needs.

TenAces will develop an AI platform to help identify protein interactions that naturally occur in the body to assist with targeted protein degradation.

Johns Hopkins has been moving into AI to create datasets and data models, says Luis Ahumada, director of health data science and analytics at Johns Hopkins All Children’s Hospital. Data collection and validation have been incremental.