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Secure AI Collaboration Will Fine-Tune OpenFold3 with Proprietary Data

Data from AbbVie and Johnson & Johnson will fine-tune OpenFold3 in a confidentiality-preserving environment, powered by Apheris.

Doctors told him he was going to die. Then AI saved his life

A little over a year ago, a Renton man was told there was only one thing left to decide. Did he want to die at home, or in the hospital? He's still living.

AI-powered drug repurposing: A game changer for cancer research

The field of cancer treatment has long struggled with the immense costs and time-consuming nature of drug development. Traditional methods often take over a decade and billions of dollars to bring a single drug to market,

PathAssist Derm Launches on AISight®: Advancing Dermatopathology Research Workflows using AI

Now available on the AISight® Platform, PathAssist Derm is an AI-assisted histopathology tool that enhances dermatopathology research workflows, accelerating skin cancer research BOSTON, Feb. 04, 2025 (GLOBE NEWSWIRE) -- PathAI,

How AI Reduces Drug Supply Chain Disruptions

Drugmakers, academics and logistics professionals are using artificial intelligence to address the industry's most pressing issue — drug shortages. Is this technology as successful as many claim it is?

Blockchain 8month
Unlocking AI's potential: Transforming healthcare commercialisation

As the race to deliver personalised engagement at scale gains pace, artificial intelligence (AI) has become a critical differentiator for pharma companies. Yet, despite the promise of these advanced technologies, many healthcare organisations struggle to implement and scale these solutions effectively.

A history of the pharmaceutical industry

The roots of the pharmaceutical industry lie back with the apothecaries ... Reimagining What's Possibl Artificial intelligence (AI) has long promised to transform the life sciences, but today ...

A new geometric machine learning method promises to accelerate precision drug development

Proteins play a crucial role in nearly all biological processes, yet predicting their complex interactions and designing proteins with new functions poses a significant challenge. In a new study published in Nature (DOI: 10.