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.

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intelligence (AI) becoming more and more common in drug development since 2016, the U.S. FDA is now issuing its first draft guidance on that use.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.”

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.

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.

It was in with the new and out with the old Jan. 3 as the gavel came down on the first session of the 119th U.S. Congress. Although Republicans will control both the House and Senate for the next two years, their narrow majority could prove a challenge to passing some of President-elect Donald Trump’s agenda, including his proposal to cut the corporate tax rate to 15% for companies that manufacture their products in the U.S.

An artificial intelligence-based tool developed by researchers in the U.K. is helping doctors identify people at risk of developing atrial fibrillation. Data from the ongoing Find-AF pilot study shows that the algorithm can comb through patients’ electronic health records and detect red flags which could indicate whether they are at risk of developing the heart condition.

Artificial intelligence (AI) is no novelty for medical technology, but 2024 saw an interesting series of events in this area from across the globe. While some of these developments portend immediate regulatory clarity, some are harbingers of continued regulatory flux in 2025 and beyond.

AI-powered drug R&D platform firm Oncocross Co. Ltd. is leading the procession of year-end Korea biotech IPOs this week, pricing an offering of about 11.85 million shares on the Korea Exchange at ₩7,300 each for gross proceeds of ₩85.56 billion (US$59.5 million).

South Korea’s Ministry of Food and Drug Safety cleared Acryl Inc.’s Acryl-D01 as the country’s first AI-based digital therapeutic software solution to aid depression screening and diagnosis on Dec. 20. Approved as a class II software as a medical device, Acryl-D01 utilizes a patient’s medical records to quantify and analyze the individual’s emotional response and assess the probability of having clinical depression based on the data.