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BioWorld - Thursday, February 19, 2026
Home » Topics » Diagnostics » Artificial intelligence

Artificial intelligence
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Cancer diagnostic illustration

Ibex secures CE-IVD mark for AI-powered decision support system for cancer

March 6, 2020
By Nuala Moran
LONDON – Ibex Medical Analytics is preparing for commercial rollout in Europe after receiving CE-IVD marking for its artificial intelligence (AI) decision support system for automated interpretation of prostate cancer biopsies. Galen Prostate, trained on more than 60,000 samples from multiple institutions, is intended to give a second opinion on digitized slides, following initial assessment by a pathologist.
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Biofourmis’ AI remote monitoring platform deployed in Hong Kong COVID-19 program

March 4, 2020
By Meg Bryant
In an effort to gain new insights about the novel coronavirus sweeping the globe, Boston-based Biofourmis Inc. is leveraging its artificial intelligence (AI)-driven remote monitoring platform to monitor Hong Kong patients diagnosed or suspected of having COVID-19. The remote monitoring and disease surveillance program, which kicked off just a few days ago, is being administered by the University of Hong Kong and includes Biofourmis’ Hong Kong-based joint venture, Harmony Medical Inc.
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Physiq AI platform gives advance notice of up to 10 days of impending heart failure crisis

March 4, 2020
By Annette Boyle
An artificial intelligence (AI) platform developed by Naperville, Ill.-based Physiq Inc. gave researchers a mean of 10.4 days warning of an impending heart failure exacerbation that would require hospitalization or an emergency department visit, according to a study published in Circulation – Heart Failure.
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Man piecing together a puzzle

Cortechs identifies Alzheimer’s-related brain changes with AI

Feb. 27, 2020
By Annette Boyle
San Diego-based Cortechs Labs Inc. has developed an automated PET image analysis tool that identifies changes in specific brain structures associated with Alzheimer’s disease, vascular dementia, epilepsy, multiple sclerosis and other neurological disorders.
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Small study finds AI gets patients to stroke treatment faster, as 500-patient study to start

Feb. 26, 2020
By Stacy Lawrence
Artificial intelligence still has a lot to prove when it comes to its relevance in improving health care. But one bright spot was a deal last July between Dublin-based Medtronic plc and San Francisco-based startup Viz.ai Inc. to use the latter’s AI system that’s designed to spot a large vessel occlusion automatically in CT angiogram images.
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Speakers make case for home-use ultrasound with help of AI

Feb. 26, 2020
By Mark McCarty
The second day of the FDA workshop on artificial intelligence (AI) in health care featured several interesting proposals, including that AI will be used in health care without the aid of a health care professional. John Martin, chief medical officer at Butterfly Network Inc., of Guildford, Conn., said the time is ripe for AI-assisted ultrasound in the home, which he claimed could reduce rehospitalizations in heart failure, one of the holy grails in U.S. government efforts to restrain health care spending growth.
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FDA aims to navigate treacherous AI regulatory waters

Feb. 25, 2020
By Mark McCarty
Developers of artificial intelligence (AI) algorithms have their own nightmares to deal with, but the FDA is charged with employing a regulatory touch that steers clear of rocky shoals on one side and inescapable whirlpools on the other. The FDA’s Bakul Patel said during a Feb. 25 workshop that the FDA would quickly be swamped if the agency took a traditional regulatory approach to managing the super-iterative digital health space, but that the agency will keep a keen eye on the potential impact on patients as AI begins to move into clinical practice.
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Digital cancer cells illustration

Nantomics’ deep learning algorithm provides fast identification of cancer marker

Feb. 20, 2020
By Mark McCarty
Nantomics LLC, of Culver City, Calif., reported that research based on the company’s deep learning system has been published in a peer-reviewed journal, highlighting the algorithm’s ability to discern which mutation drives a patient’s breast cancer.
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Pill over molecule structures

Nicoya launches world’s first digital benchtop SPR system to accelerate drug discovery

Feb. 19, 2020
By David Godkin
TORONTO – Kitchener, Ontario-based Nicoya Life Sciences Inc. has followed up CA$10 million (US$7.6 million) in series A funding raised in January with its launch of “the world’s first digital benchtop surface plasmon resonance (SPR) system” to boost development of drug therapies.
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Digital cancer cells illustration

Nantomics’ deep learning algorithm provides fast identification of cancer marker

Feb. 19, 2020
By Mark McCarty
Nantomics LLC, of Culver City, Calif., reported that research based on the company’s deep learning system has been published in a peer-reviewed journal, highlighting the algorithm’s ability to discern which mutation drives a patient’s breast cancer. The company said their approach is a rapid and cost-effective way to establish the breast cancer subtype, thus giving clinician and patient alike a good understanding of which therapies would be ineffective for that cancer and maximizing the chances for a cure.
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