🔬 Future of AI in Life Sciences

Happy Thursday!

Google Health’s Chief Clinical Officer shares thoughts on the future of AI in life sciences. And a start-up called ClosedLoop is working on predicting population health using AI.

Let’s Review 👇

🔬 Google Health’s CCO Provides a Look at the Future of AI Life Sciences

Kirsten Bibbins-Domingo, Ph.D., and editor-in-chief of the Journal of the American Medical Association spoke with Google Health’s chief clinical officer, Michael Howell, MD to ask his thoughts on the future of AI in life sciences.

Key Highlights:

• Google has been working on AI models for healthcare, with notable progress in 2022, particularly with Med-PaLM and Med-PaLM 2 models.

• An important aspect is the speed of progress, with Med-PaLM 2 going from 50% to 87% accuracy in just a few months.

• AI can serve as an assistive tool in healthcare, helping clinicians in various tasks but not replacing them.

• Hallucination is a concern in AI, where models might generate information that seems plausible but is not accurate or well-grounded.

• Grounding, consistency, and attribution are evolving areas to address the issue of hallucination in AI-generated content.

• Protecting patient data is crucial, and healthcare systems need to work with partners who can isolate sensitive data and ensure compliance with privacy regulations like HIPAA and GDPR. (Read More)

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🤖 ClosedLoop is Using AI to Predict Population Health

ClosedLoop, an AI-driven population health management platform, has launched new tools to enhance population health outcomes. The platform uses AI and healthcare data to identify at-risk patients, predict disease progression, and recommend personalized interventions. The newly introduced tools include:

1. Risk Stratification: ClosedLoop's AI assesses patient data to identify those at high risk for certain health conditions. This enables healthcare providers to allocate resources and interventions more effectively.

2. Predictive Analytics: The platform employs predictive analytics to forecast disease progression and patient health trajectories. This information helps providers tailor interventions and preventive measures for individuals.

3. Patient Engagement: ClosedLoop offers tools for personalized patient engagement, enabling providers to interact with patients based on their specific health needs and risk factors. (Read More)

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That’s all for today!

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