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BioWorld - Monday, December 29, 2025
Home » Topics » Diagnostics » Artificial intelligence

Artificial intelligence
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Hands holding arrow-shaped puzzle pieces

Volpara acquires breast cancer risk assessment company CRA Health for $22M

Feb. 4, 2021
By Tamra Sami
PERTH, Australia – Wellington, New Zealand-headquartered Volpara Health Technologies Ltd. has acquired Boston-based CRA Health LLC for $18 million up front and an additional $4 million to be paid over the next 18 months in earnouts. Volpara’s digital health solutions use imaging and artificial intelligence (AI) for early detection of breast cancer. The company’s clinical functions for screening clinics provide feedback on breast density, compression, dose, and quality, while its enterprise-wide practice software management helps with productivity, compliance, reimbursement and patient tracking.
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Product image

Biosig and Mayo collaborate on AI-powered electrophysiology system

Feb. 3, 2021
By Annette Boyle
Biosig Technologies Inc. and the Mayo Foundation for Medical Education and Research are jointly developing next-generation artificial intelligence (AI)-powered software for Biosig’s Pure EP electrocardiograph system. The Pure EP system acquires, measures, calculates and stores electrocardiographic and intracardiac signals for patients during electrophysiology procedures. The collaboration aims to expand the captured signals and combine them with other data sources to provide more actionable information.
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Digital imaging technology

NICE publishes guidelines for AI use in select imaging procedures

Feb. 1, 2021
By Nuala Moran
LONDON – The U.K. National Institute for Health and Care Excellence (NICE) has published new advice on how and when artificial intelligence (AI) could be applied to the interpretation of mammograms and chest computer tomography images, in a move that is intended to set the ground rules for the uptake of these technologies. In population breast screening, NICE looked at how five AI systems could be used to pick out mammography images that need further assessment, supporting qualified radiologists in their interpretation.
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Software screenshot

STAR mapping dramatically improves ablation results in atrial fibrillation

Jan. 27, 2021
By Annette Boyle
Using Rhythm AI Ltd.'s stochastic trajectory analysis of ranked signals (STAR) mapping system with pulmonary vein isolation terminated and eliminated recurrence of persistent atrial fibrillation (AF) at much higher rates than other ablation procedures in a study published in the Journal of Cardiovascular Electrophysiology. The artificial intelligence-driven STAR mapping process collects and analyzes thousands of heart signals to precisely identify the areas of the heart responsible for the errant electrical signals causing atrial fibrillation, enabling more thorough and accurate ablation.
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Software screenshot

Circle wins Ottawa funding support for its AI-driven cardiovascular imaging platform

Jan. 27, 2021
By David Godkin
TORONTO – Calgary-based Circle Cardiovascular Imaging Inc. is receiving CA$2.65 million (US$2.09 million) in funding from the Canadian government’s Western Diversification Program (WDP), which represents nearly half of the more than CA$5.5 million (US$3.35 million) investment made to four Alberta-based organizations and companies. Company CEO Greg Ogrodnick attributes this to Circle Cardiovascular’s position “as the world leader in cardiovascular imaging.”
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Device on person

Brain Scientific begins development of E-Tattoo device for continuous brain monitoring

Jan. 25, 2021
By Mary Ellen Schneider
Brain Scientific Inc., a neurology-focused device and software company, is seeking to combine a miniaturized electroencephalogram (EEG) with subcutaneous graphene electrodes to produce a minimally invasive brain monitoring device that could provide continuous data on patients with neurological conditions. The device, which the New York-based company is calling the Brain E-Tattoo, would monitor brain wave activity outside the clinical setting, allowing for long-term continuous data collection without interrupting daily life.
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Device image

Oncohost nabs $8M series B round for AI-powered precision oncology platform

Jan. 22, 2021
By Annette Boyle
New funding to the tune of $8 million in series B investment moves Oncohost Ltd. a good bit closer to bringing its personalized immunotherapy prediction platform to market and key operations to the U.S.
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Device image

Oncohost nabs $8M series B round for AI-powered precision oncology platform

Jan. 21, 2021
By Annette Boyle
New funding to the tune of $8 million in series B investment moves Oncohost Ltd. a good bit closer to bringing its personalized immunotherapy prediction platform to market and key operations to the U.S. Ourcrowd, an investment platform that simplifies investment by accredited investors and others in startups, early-stage companies and venture funds, led the round. Other participants included a group of family offices and private investors.
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Elderly hands holding broken brain structure

Vuno gets MFDS nod for AI-based brain imaging diagnostic, moves IPO plans along

Jan. 21, 2021
By Gina Lee
HONG KONG – South Korea’s Ministry of Food and Drug Safety (MFDS) has greenlighted Seoul-based Vuno Inc.’s artificial intelligence (AI)-based solution Vuno Med Deepbrain for use as a class III medical device, which is a classification for moderate risk level devices. The MFDS approval was given on Dec. 29, 2021, a Vuno spokesperson told BioWorld, but the company only disclosed the approval earlier in the week. The reasons for the delayed announcement were not disclosed.
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Kidney illustration

Renalytix and Davita join forces to identify and manage early-stage kidney disease

Jan. 13, 2021
By Annette Boyle
Diagnostics innovator Renalytix AI plc and dialysis giant Davita Inc. partnered to develop a program to identify individuals with early-stage kidney disease and improve outcomes for the 37 million Americans with chronic kidney disease (CKD). The companies plan to launch the collaborative effort in three cities in 2021 to build a diverse, real-world evidence dataset as a base for moving forward.
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