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BioWorld - Thursday, December 11, 2025
Home » AI

Articles Tagged with ''AI''

Eyebright Meiyue Tong TOPPOP Smart store

‘Little giant’ Eyebright’s phakic IOL cleared for myopia in China

Jan. 30, 2025
By Marian (YoonJee) Chu
Eyebright Medical Technology (Beijing) Co. Ltd. is expanding its position in China’s phakic intraocular lens (IOL) market, gaining the National Medical Products Administration (NMPA) approval of its Loong Crystal PR phakic IOL product for myopia in adults in January 2025.
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Ribbons of digital data

South Korea issues world’s first generative AI medical device guideline

Jan. 24, 2025
By Marian (YoonJee) Chu
South Korea’s Ministry of Food and Drug Safety said it released the world’s first guideline on reviewing and approving generative artificial intelligence-based medical devices Jan. 24, to help establish standards on the technology’s applications in the medical field.
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Neuromatch Access

LVIS launches Neuromatch Access in US, Korea as EEG diagnostic

Jan. 22, 2025
By Marian (YoonJee) Chu
Standing for live visualization of brain circuits, LVIS Corp launched the cloud-based Neuromatch Access platform as a software as a service to help neurologists and medical professionals review, interpret and analyze electroencephalogram (EEG) data.
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AI silhouette

Support for US AI policymaking gaining steam in Washington

Jan. 21, 2025
By Mark McCarty
The European Union has implemented legislation governing artificial intelligence (AI) with more on tap, but the U.S. has to date lagged in that area. However, the House of Representatives has assembled a bipartisan task force for AI, one of several developments suggesting that 2025 will be an even more AI-focused year than 2024.
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“Denoising encoder-decoder neural network for pain recognition and other diagnostic applications.”

Researchers use artificial intelligence to objectively assess pain

Jan. 17, 2025
By Simon Kerton
Researchers from Cornell University are seeking protection for their invention of a low-cost artificial intelligence (AI)-based platform that analyses low resolution electrocardiogram data and/or photoplethysmography data to accurately and objectively assess pain.
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Concept art for targeting cancer

Insilico wins second Menarini deal with oncology candidate

Jan. 13, 2025
By Marian (YoonJee) Chu
Insilico Medicine Inc. nabbed a potential $550 million-plus deal with Menarini Group’s Stemline Therapeutics Inc. for an unnamed preclinical small-molecule drug targeting solid tumors, adding to a $500 million deal inked by the duo in January 2024.
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Purple-tinted test tubes and dropper

South Korea ups 2025 health agency budget, biomedical R&D funds

Jan. 7, 2025
By Marian (YoonJee) Chu
South Korea’s government continued to ramp up investment in its pharmaceutical and med-tech sector in 2025, including a 7.2% hike for the Ministry of Health and Welfare’s budget and a near 15% increase in funding to research and develop innovative biotechnologies.
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Purple-tinted test tubes and dropper

South Korea ups 2025 health agency budget, biomedical R&D funds

Jan. 7, 2025
By Marian (YoonJee) Chu
South Korea’s government continued to ramp up investment in its pharmaceutical and med-tech sector in 2025, including a 7.2% hike for the Ministry of Health and Welfare’s budget and a near 15% increase in funding to research and develop innovative biotechnologies.
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CMS logo and website

Congressional disinterest in CMS appropriations likely to persist

Jan. 7, 2025
By Mark McCarty
The discussion about taxpayer appropriations for CMS has been ongoing for decades, leading to futile speculation regarding user fees for the agency. Louis Jacques, who formerly worked at CMS, told BioWorld that Congress tends to be somewhat reactive when it comes to appropriations for CMS – a dynamic which suggests that appropriations for CMS are not likely to improve significantly in the near term.
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Illustration of a cluster of ovarian cancer cells
Cancer

New AI-based models better than humans at diagnosing ovarian cancer

Jan. 7, 2025
By Shani Alexander
Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian cancer in ultrasound images more accurately than humans. Results from a study published in Nature Medicine showed that the AI models achieved an accuracy rate of 86.3%, compared to 82.6% for the experts and 77.7% for the non-expert examiners.
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