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BioWorld - Thursday, April 30, 2026
Home » AI

Articles Tagged with ''AI''

“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.
Read More
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.
Read More
Purple-tinted test tubes and dropper

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

Jan. 6, 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.
Read More
Pill in immersive interface

US FDA issues first AI guidance for drug development

Jan. 6, 2025
By Mari Serebrov
With artificial intelligence (AI) becoming more and more common in drug development since 2016, the U.S. FDA is now issuing its first draft guidance on that use. The “FDA recognizes the increased use of AI throughout the drug product life cycle and across a range of therapeutic areas. In fact, CDER has seen a significant increase in the number of drug application submissions using AI components over the past few years,” a CDER spokesperson told BioWorld. “These submissions traverse the drug product life cycle, which includes nonclinical, clinical, postmarketing and manufacturing phases.”
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Illustration of a cluster of ovarian cancer cells

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

Jan. 6, 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.
Read More
Illustration of a cluster of ovarian cancer cells

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

Jan. 6, 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.
Read More
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