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Pharma – 2025 Health IT Predictions

Healthcare IT Today

We reached out to our incredible Healthcare IT Today Community to get their insights on what will happen in the coming year and boy did they deliver. Drug discovery and development will see the most dramatic impact, with AI-powered processes reducing development timelines from 10-12 years to as little as a quarter of that time.

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Weekly Roundup – January 4, 2025

Healthcare IT Today

Welcome to our Healthcare IT Today Weekly Roundup. Each week, well be providing a look back at the articles we posted and why theyre important to the healthcare IT community. We have plenty more predictions from the Healthcare IT Today community. No hard feelings if you did – I was off for a few days, too.) Happy 2025!

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Accenture Invests in QuantHealth to Accelerate Use of AI-Powered Clinical Trial Simulations to Drive Cost-Effective Drug Development

Healthcare IT Today

Drug population and drug protocol fit account for nearly 75% of these failures. By simulating trials at scale, QuantHealth’s platform can lower risks, expedite, and optimize drug development. Petra Jantzer, Ph.D.,

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How AI is Shaping Drug Discovery at AION Labs

Healthcare IT Today

In our interview, Gil emphasizes the critical role of AI in expediting the discovery of new drugs, citing the lengthy and costly nature of traditional drug development processes. However, with AI-driven approaches, Aion Labs is paving the way for a paradigm shift in drug discovery. Tell us what you think.

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Labcorp teams up with Ascension to expand services in several states

Healthcare IT News - Telehealth

The companies drew particular attention to Labcorp Drug Development, which Ascension says it can use to present physicians and patients with access to clinical trials, innovative therapies and new treatment options where appropriate. Kat Jercich is senior editor of Healthcare IT News. Twitter: @kjercich. Enterprise Taxonomy:

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Quibim: $50M Series A for Precision Medicine with AI-Powered Imaging Biomarkers

Healthcare IT Today

This is the pathway toward achieving human digital twins, dynamic models that not only reflect and allow health monitoring but also enhance patient stratification, improve the success rates of drug development programs, and enable treatment testing before application.

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Healthcare AI Bias: Reasons and Resolutions

Healthcare IT Today

Artificial intelligence (AI) holds great promise to dramatically improve clinical outcomes for patients, but in a perverse twist, AI algorithms that are used to improve drug development and support healthcare don’t just highlight social inequities — they may ultimately exacerbate them. A lingering […].