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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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PhaseV Applies Machine Learning for Successful Clinical Trials

Healthcare IT Today

In this video, he describes other ways that AI can make drug development more efficient. At the design stage, a drug company can run millions of simulations to determine where risks lie and what parameters are most promising. Pryluk also discusses equity and explainability. Watch the video for more insights.

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In Health Care, AI to Advance Rapidly Along With Its Regulation

Healthcare IT Today

He also said that the benefits go beyond doctors; for instance, care coordinators can be more efficient and AI can help drug development. Learn more about UST: [link] Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT. Tell us what you think.

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Curebase Unlocks Drug Development with Remote Clinical Trials; Raises $15m Led by GGV Capital

Healthcare IT Today

Curebase today announced $15M in Series A funding to continue developing its decentralized clinical trial software platform and virtual research site capabilities, powering research where any patient, anywhere, can be part of clinical trials at home and with their own doctor.

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Zephyr AI Raises $111 Million in Series A Financing

Healthcare IT Today

This contextual understanding is pivotal in drug development decision-making, revealing patient selection insights unpredictable using today’s tools to maximize the value of both approved medicines and drugs in development.” .

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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 […].