Development

AI Drives Development of Cancer Fighting Software

University of Houston researchers and their students are developing a new software technology, based on artificial intelligence, for advancing cell-based immunotherapy to treat cancer and other diseases.

CellChorus Inc., a spinoff from the University of Houston, is commercializing the UH-developed Time-lapse Imaging Microscopy In Nanowell Grids™ platform for dynamic single-cell analysis with label-free analysis. Now they've received a $2.5 million grant from the National Center for Advancing Translational Sciences of the National Institutes of Health to fast-track the development of an advanced "label-free" version of this technology in partnership with the University of Houston.

Revolutionizing Cardiovascular Risk Assessment with AI

A recent position paper in the Asia-Pacific Journal of Ophthalmology explores the transformative potential of artificial intelligence (AI) in ophthalmology. Led by Lama Al-Aswad, Professor of Ophthalmology and Irene Heinz Given and John La Porte Given Research Professor of Ophthalmology II, of the Scheie Eye Institute, the work represents a collaboration among researchers from Penn Engineering, Penn Medicine, the University of Michigan Kellogg Eye Center, St. John Eye Hospital in Jerusalem, and Gyeongsang National University College of Medicine in Korea.

AI Language Models Write Good Doctor's Letters

Generative AI should be able to write usable doctor's letters and thus potentially speed up medical documentation, according to a study by the University Medical Center Freiburg. Around 93% of the AI-generated reports could have been used with only minimal adaptations, the researchers found.

ChatGPT Shows Human-Level Assessment of Brain Tumor MRI Reports

As artificial intelligence advances, its uses and capabilities in real-world applications continue to reach new heights that may even surpass human expertise. In the field of radiology, where a correct diagnosis is crucial to ensure proper patient care, large language models, such as ChatGPT, could improve accuracy or at least offer a good second opinion.

When Detecting Depression, the Eyes have it

It has been estimated that nearly 300 million people, or about 4% of the global population, are afflicted by some form of depression. But detecting it can be difficult, particularly when those affected don’t (or won't) report negative feelings to friends, family or clinicians.

Now Stevens professor Sang Won Bae is working on several AI-powered smartphone applications and systems that could non-invasively warn us, and others, that we may be becoming depressed.

AI may Enhance Patient Safety

Generative artificial intelligence (genAI) uses hundreds of millions, sometimes billions, of data points to train itself to produce realistic and innovative outputs that can mimic human-created content. Its applications include personalized recommendations for online shoppers, creating audio and visual content and accelerating engineering design.

Researchers Harness AI to Repurpose Existing Drugs for Treatment of Rare Diseases

There are more than 7,000 rare and undiagnosed diseases globally.

Although each condition occurs in a small number of individuals, collectively these diseases exert a staggering human and economic toll because they affect some 300 million people worldwide.

Research and Development News

AI Drives Development of Cancer Fighting Software

Revolutionizing Cardiovascular Risk Assessment with AI

AI Language Models Write Good Doctor's Letters

ChatGPT Shows Human-Level Assessment of Brain Tumor MRI Reports

When Detecting Depression, the Eyes have it

AI may Enhance Patient Safety

Researchers Harness AI to Repurpose Existing Drugs for Treatment of Rare Diseases

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