While there was much talk about the vast potential of artificial intelligence (AI) during one of the world’s largest research cancer conferences, antibody-drug conjugates (ADCs) continued to grab the lion’s share of attention as Corbus Pharmaceuticals Holdings Inc. and Takeda Pharmaceutical Co. Ltd. released new and positive data.
A little over two months after the granting of its very first patent which described computer-based systems for diagnosing psoriasis, Belletorus Corp. welcomed the publication of two continuation-in-part child filings on similar such systems for the diagnosis of eczema and determining the severity of skin diseases such as psoriasis, eczema and skin cancer.
Volta Medical SAS reported positive results from the Tailored-AF study which compared its artificial intelligence software-guided ablation procedure in combination with pulmonary vein isolation to a conventional anatomical ablation targeting PVI alone, to treat persistent atrial fibrillation.
“In an impressive eight-month timeline,” South Korea’s Lunit Inc. completed the $193 million (AU$292 million) acquisition of Volpara Health Technologies Ltd. to globally advance artificial intelligence (AI)-based cancer care.
The European Council (EC) voted to approve the Artificial Intelligence Act (AI Act), a sweeping horizontal legislative product that affects all sectors of the European Union’s (EU) economy. Regulatory attorney Erik Vollebregt told BioWorld that the horizontal nature of the AI Act is still likely to exacerbate some of the problems already seen with the Medical Device Regulation (MDR) in a way that he said will make the EU market less attractive than is already the case.
As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”
Imaging is the number one way physicians track cancer progression and burdens within neurology and cardiology, but the ability to take imaging information and interact with it to make better decisions is becoming ever more complicated.
As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”
Recent advances in artificial intelligence (AI) have generated a tsunami of popular dystopian musings, but the U.S. Patent and Trademark Office (PTO) has its own concerns about AI’s impact on intellectual property.
The U.K. Medicines and Health Care Products Regulatory Agency (MHRA) is among the regulators across the globe that are scrambling to keep pace with artificial intelligence (AI) in medical devices, releasing an April 30, 2024, paper on its own approach. One of the key considerations in this paper is that MHRA expects to up-classify some AI-enabled device software functions in its ongoing regulatory revamp, a prediction that suggests a more stringent premarket path for these products in the years ahead.
