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Omada Health Soars in NASDAQ Debut, Signaling Digital Health IPO Rebound

Omada Health Soars in NASDAQ Debut, Signaling Digital Health IPO Rebound

June 6, 2025June 7, 2025
Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis

Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis

June 6, 2025June 7, 2025
Why Healthcare Organizations Should Consider Next-Generation Data Centers

Why Healthcare Organizations Should Consider Next-Generation Data Centers

June 6, 2025June 7, 2025
Former Ripple exec Greg Kidd buys Know Labs with Bitcoin

Former Ripple exec Greg Kidd buys Know Labs with Bitcoin

June 6, 2025June 6, 2025
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Tag: Big Data

The Future of Hospitals and Pharma Companies Will Depend on Strength of Healthcare Analytics Insights - MedCity News

The Future of Hospitals and Pharma Companies Will Depend on Strength of Healthcare Analytics Insights – MedCity News

October 15, 2024October 15, 2024MedCity News

Big data analysis is an invaluable resource in healthcare and life sciences. Data can tell a pharmaceutical company which drugs a medical specialist prescribes and where they are based. This knowledge is key to…

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Operationalising big data research for precision medicine: Lessons from Asia

Operationalising big data research for precision medicine: Lessons from Asia

October 14, 2024October 14, 2024Healthcare IT news

Privacy, systems interoperability, and lack of research capability are some of the biggest challenges in utilising big data for national precision medicine projects in advanced health systems in Asia.Health leaders from Taiwan, South Korea, and…

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RadiantGraph Launches Integration Platform to Untangle Healthcare Data Chaos

RadiantGraph Launches Integration Platform to Untangle Healthcare Data Chaos

September 24, 2024September 25, 2024HIT Consultant

What You Should Know:

– AI has proven effective in enabling health plans to hyper-personalize communications, engage consumers, and enhance outcomes, including CAHPS and star ratings. However, many large healthcare organizations struggle with unstructured and…

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Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial

Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial

August 27, 2024August 27, 2024npj Digital Medicine

The digital revolution in healthcare, amplified by the COVID-19 pandemic and artificial intelligence (AI) advances, has led to a surge in the development of digital technologies. However, integrating digital health solutions, especially AI-based ones,…

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New way to protect patient data for training AI models

New way to protect patient data for training AI models

August 7, 2024August 7, 2024Healthcare IT news

A recent study in South Korea has explored the use of a cryptographic scheme widely used in secure elections to protect patient data used in training AI models. Researchers from Asan Medical Center have applied…

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Pfizer marks a new chapter in AI and gene therapy

Pfizer marks a new chapter in AI and gene therapy

June 11, 2024June 11, 2024Omnia Health Insights

Biopharmaceutical leaders Pfizer mapped out an exciting journey in AI and gene therapy in the Middle East, Russia and Africa (MERA), as its regional headquarters in Dubai marked their 175th anniversary on Tuesday.
Patrick van…

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Implicity Launches FDA-approved Heart Failure Prediction Algorithm, SignalHF

Implicity Launches FDA-approved Heart Failure Prediction Algorithm, SignalHF

May 17, 2024May 17, 2024HIT Consultant

What You Should Know: 

– Implicity, a leader in remote patient monitoring and cardiac data management, has received FDA 510(k) clearance for SignalHF1, a groundbreaking new algorithm within their remote monitoring solution. 

– SignalHF1 algorithm empowers…

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The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis

The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis

May 10, 2024May 10, 2024npj Digital Medicine

Posttraumatic stress disorder (PTSD) recently becomes one of the most important mental health concerns. However, no previous study has comprehensively reviewed the application of big data and machine learning (ML) techniques in PTSD. We…

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Hong Kong big data utilised for building predictive AI and more AI briefs

Hong Kong big data utilised for building predictive AI and more AI briefs

May 6, 2024May 6, 2024Healthcare IT news

CU Medicine develops severe hypoglycemia predictive AI Researchers from the Faculty of Medicine at the Chinese University of Hong Kong (CU Medicine) have utilised anonymised big data from the Hospital Authority Data Collaboration Laboratory to…

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436 - Predicting clinical trial success. Saurabh Jain & Damon Rasheed - Trial Key

436 – Predicting clinical trial success. Saurabh Jain & Damon Rasheed – Trial Key

May 1, 2024May 7, 2024Talking HealthTech

Predictive Powers Transforming Clinical TrialsIn this episode of Talking HealthTech, we dive into the predictive analysis systems revolutionising clinical trial design and outcomes. With the costs of these trials often soaring, and their success…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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