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BioWorld - Saturday, April 4, 2026
Home » Topics » Diagnostics » Artificial intelligence

Artificial intelligence
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Cosmo Pharmaceuticals' GI Genius device increases adenoma detection nearly 50% during colonoscopy

Sep. 19, 2019
By Annette Boyle

Dreamed wins U.S. and EU approval for AI-based insulin recommendation technology

Sep. 18, 2019
By David Ho
HONG KONG – Dreamed Diabetes Ltd., of Petah Tikva, Israel, has received both FDA clearance and the CE mark for an insulin dosing decision support software based on artificial intelligence (AI).
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Companies partner for AI-based approach to ID of colorectal polyps

Sep. 10, 2019
By David Godkin

Standing at the crossroads of people and technology

Aug. 30, 2019
By Lee Landenberger
In retrospect, it seems inevitable that an algorithm would be appointed to a board of directors. Hong Kong-based Deep Knowledge Ventures named Vital (an acronym for Validating Investment Tool for Advancing Life Sciences) to its board five years ago and credits it with making better decisions than its fellow members, humans all.
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FDA looks to AI to streamline drug development and approval process

Aug. 23, 2019
By Mari Serebrov
While regulatory science can lag behind technology advances, the FDA has for the past few years been exploring ways to harness the potential of artificial intelligence (AI) to streamline drug development and the approval process. A nexus for its efforts is the Information Exchange and Data Transformation (INFORMED) initiative anchored in the agency's Oncology Center of Excellence (OCE). At its inception in 2016, INFORMED was designed to tap into the power of big data and advanced analytics to improve disease outcomes.
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China on the cusp of regulating AI-based devices

Aug. 23, 2019
By Elise Mak
BEIJING – With home-grown artificial intelligence (AI) medical devices under priority review, mainland China is quickly putting together a regulatory framework to more rapidly tap into the power of AI to develop devices and drugs.
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Australia: No plans to regulate AI, machine learning via separate pathway

Aug. 23, 2019
By Tamra Sami
PERTH, Australia – It's likely that Australia will not draft separate guidance or regulations for software applications that use artificial intelligence or machine learning (AI/ML) for drug development or medical devices. Instead, the Therapeutic Goods Administration (TGA) will classify AI and ML under software as a medical device (SaMD) when it is intended for diagnosis, prevention, monitoring or treatment or alleviation of disease.
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India lags in regulating AI as development proceeds

Aug. 23, 2019
By T.V. Padma
NEW DELHI – Artificial intelligence (AI) is increasingly gaining a foothold in India's health care landscape, with investors pouring money into the new technology, companies developing products and regulators looking to come up with much-needed rules. India's Ministry of Health has reached out to the public for consultation on its national digital health blueprint that seeks to propel digital health care, including the use of AI in the biotech and medical technology sectors.
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U.S. AI med-tech regs in development 'not for the faint of heart'

Aug. 23, 2019
By Mark McCarty
The FDA's regulation of artificial intelligence (AI) is divided by product center for reasons that are obvious, but precisely what that regulation will look like is anything but. As the FDA's Center for Devices and Radiological Health (CDRH) goes through the comment period for its discussion draft for AI, other nations are starting their own efforts in this space. The American agency's efforts may foreshadow the approaches employed in other nations.
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Lilly, Evidation, Apple report data on digital biomarkers to detect cognitive impairment

Aug. 12, 2019
By Stacy Lawrence
Screening for early signs of cognitive impairment and dementia amongst the elderly is a task that's often unevenly attended to by primary care physicians. But the routine personal consumer devices that we use every day might offer a clearer and more consistent window into early declines in cognitive and memory function, according to data from a feasibility study that were reported this week at the Association for Computing Machinery's Knowledge, Discovery and Data Mining conference in Anchorage, Alaska.
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