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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: predictive modeling

Abbott Debuts GenAI ‘Libre Assist’ to Tackle Mealtime Decision Fatigue

Abbott Debuts GenAI ‘Libre Assist’ to Tackle Mealtime Decision Fatigue

January 5, 2026January 6, 2026HIT Consultant

What You Should Know: 

– Launched at CES 2026, Abbott’s Libre Assist,is a generative AI feature within the Libre app that predicts glucose impact before consumption. 

– Using a color-coded rating (Green/Yellow/Orange), it acts as a…

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Predictive modeling & mechanistic validation of synergistic pimodivir combinations for anti-influenza therapy via PB2cap affinity boost

Predictive modeling & mechanistic validation of synergistic pimodivir combinations for anti-influenza therapy via PB2cap affinity boost

November 21, 2025November 22, 2025npj Digital Medicine

This study introduces a machine learning framework to predict effective antiviral combinations for influenza A. It identifies Pimodivir with Epinephrine or L-Adrenaline as synergistic agents, confirmed by experiments demonstrating increased binding affinity and viral…

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Cluster-Based Predictive Modeling of User Ratings for Physical Activity Apps Using Mobile App Rating Scale (MARS) Dimensions: Model Development and Validation

Cluster-Based Predictive Modeling of User Ratings for Physical Activity Apps Using Mobile App Rating Scale (MARS) Dimensions: Model Development and Validation

November 7, 2025November 7, 2025JMIR mHealth and uHealth

Background: The rapid proliferation of mobile health applications has underscored the need for robust tools to evaluate their quality. The Mobile App Rating Scale (MARS) is a widely used framework to assess key app…

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Cleveland Clinic’s AI Revolution in Heart Care

Cleveland Clinic’s AI Revolution in Heart Care

October 17, 2025October 17, 2025DistilINFO Hospital IT

Partnership Overview
Cleveland Clinic and DASI Join Forces
Cleveland Clinic has announced a groundbreaking partnership with DASI Simulations to revolutionize the treatment of structural heart diseases through artificial intelligence. This collaboration represents a significant milestone in…

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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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  • Decagon raises $250M for AI agents, triples valuation to $4.5B

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