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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: Machine Learning

RADIANT-CERSI Innovator Support programme: Suna Health turns regulatory complexity into a strategic advantage 

RADIANT-CERSI Innovator Support programme: Suna Health turns regulatory complexity into a strategic advantage 

November 10, 2025November 11, 2025DigitalHealth.London

Suna Health is pioneering acoustic digestive state tracking through a wearable patch that continuously monitors gastrointestinal activity using AI-powered acoustic sensing. The discreet patch contains an acoustic sensor and a 200-hour battery, with on-device machine learning classifying gut sounds…

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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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Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations

Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations

October 29, 2025October 30, 2025npj Digital Medicine

Scalable home-based detection of isolated REM sleep behavior disorder (iRBD) is essential for early care, prevention trials, and identifying candidates for neuroprotective interventions against synucleinopathies. We previously showed that high-resolution wrist actigraphy (Axivity AX6)…

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Electrophysiological signatures predict the therapeutic window of deep brain stimulation electrode contacts

Electrophysiological signatures predict the therapeutic window of deep brain stimulation electrode contacts

October 29, 2025October 30, 2025npj Digital Medicine

Deep brain stimulation (DBS) is an effective treatment for Parkinson’s disease. Identifying the optimal parameters is a complex task. Here, we investigated whether electrophysiology, combined with machine learning, can support contact selection. We applied…

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Cybersecurity Challenges in AI-Driven Pharmaceutical Manufacturing: Lessons from the Frontlines

Cybersecurity Challenges in AI-Driven Pharmaceutical Manufacturing: Lessons from the Frontlines

October 22, 2025October 22, 2025HIT Consultant

Rama Devi Drakshpalli, Data Analytics Solution Architect at Tech Mahindra

The pharmaceutical industry is undergoing a digital transformation like never before. Emerging technologies such as artificial intelligence, the internet of things, and real-time analytics have…

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Streamlined machine learning model for early sepsis risk prediction in burn patients

Streamlined machine learning model for early sepsis risk prediction in burn patients

October 21, 2025October 22, 2025npj Digital Medicine

Sepsis is the leading cause of mortality in burn patients, yet early identification remains difficult due to persistent hyperinflammatory responses and altered baseline physiology. We developed a streamlined machine learning model for early sepsis…

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Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models

Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models

October 17, 2025October 18, 2025npj Digital Medicine

Surgical site infections (SSIs), among the most frequent healthcare-associated infections, require surveillance, but traditional methods are labour-intensive. We developed machine learning (ML) and rule-based models for the semi-automated detection of deep and organ/space SSIs…

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Caravel Bio Wins $7.8M NSF Grant to Pioneer Next-Generation Protein Engineering

Caravel Bio Wins $7.8M NSF Grant to Pioneer Next-Generation Protein Engineering

October 16, 2025October 17, 2025HIT Consultant

What You Should Know:

– Caravel Bio, the first joint platform for protein discovery and delivery that enables new applications of synthetic biology, today announces its selection for a $7.8M award from the U.S. National Science…

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Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification

Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification

October 14, 2025October 15, 2025npj Digital Medicine

This study evaluates the CT-based volumetric sarcopenia index (SI) as a baseline prognostic factor for overall survival (OS) in 10,340 solid tumor patients (40% female). Automated body composition analysis was applied to internal baseline…

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Automated AI based identification of autism spectrum disorder from home videos

Automated AI based identification of autism spectrum disorder from home videos

October 10, 2025October 10, 2025npj Digital Medicine

Autism spectrum disorder (ASD) is a prevalent childhood-onset neurodevelopmental condition. Early diagnosis remains challenging by the time, cost, and expertise required for traditional assessments, creating barriers to timely identification. We developed an AI-based screening…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

Michael Restuccia

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