Quibim SL recently launched its artificial intelligence (AI)-based software QP-Brain, which is designed to detect early-stage neurodegenerative diseases, after it received U.S. FDA 510(k) clearance, as well as CE and UKCA marks from the EU and U.K. regulators, respectively. QP-Brain quantifies and presents data from patients’ brain images to help clinicians with early diagnosis and treatment strategies for diseases such as Alzheimer’s, multiple sclerosis and dementia.
The first patenting from Mhealthcare Inc. describes a patient examination table or bed equipped with a variety of sensors, data from which may be analyzed with trained machine learning models to facilitate risk assessment and diagnosis of non-neurotypical developmental conditions such as autism in infants and young children by predicting cognitive, behavioral, social and developmental outcomes as early as the first three months of life. It is also claimed that the table may be used to diagnose epilepsy and Alzheimer’s disease.
The U.S. FDA might still be seen as the premier med tech regulatory entity in the world, but the agency is badly outnumbered by companies in the life sciences, which are pumping out artificial intelligence algorithms at a breathtaking pace. Further, the FDA must also avoid being lapped by industry in connection with the regulatory novelty known as the predetermined change control plan, a challenge that put the agency’s device center in scramble mode for essentially the entirety of calendar year 2023.
Asia continues its push to be the global leader with precision health and artificial intelligence/machine learning (AI/ML) models for diagnosing disease. Most health care systems in Asia’s major markets include universal health care coverage and are leaning toward electronic health records, paving the way for seamless use of data. At the same time, AI/ML is making its way across the entire health care spectrum, including applications to diagnose breast cancer, kidney disease, cognitive decline, depression and even retinal imaging to detect cardiac disease.
Over the past few years, the health care sector has been progressively leveraging artificial intelligence techniques for activities such as end-to-end drug discovery and development, diagnosing patients, improving communication and engagement between physician and participant, transcribing medical documents and remotely treating and monitoring patients.
Researchers have used explainable artificial intelligence (explainable AI) to find structurally new antibiotics with minimal toxicity. They reported their findings online in Nature on Dec. 20, 2023. In animal testing, compounds identified via the method showed that they had activity against drug-resistant gram-positive bacteria including methicillin-resistant Staphylococcus aureus (MRSA), one of the most serious bacterial public health threats.
South Korean artificial intelligence software developer Lunit Inc. plans to acquire Volpara Health Technologies Ltd. for $193 million (AUD 292 million) by mid-2024, taking a global leap to the U.S. market and becoming an AI-based platform health care firm.
Artificial intelligence has morphed from a buzzword referencing a popular curiosity to a series of national security and competitiveness considerations, which was reflected in the tone of a recent hearing in the U.S. House of Representatives.
The European Union’s Artificial Intelligence Act (AI Act) is widely seen as a groundbreaking piece of legislative handiwork, but companies in the life sciences may see it as a groundbreaker with negative consequences. The latest edition of the AI Act continues to treat medical AI software as a high-risk product, which would make these products exceptionally expensive and burdensome to bring to market in the EU and convince some companies in the medical AI business to skip the European market altogether.
Venture Capital firm Sofinnova Partners has launched Sofinnova.AI, an artificial intelligence (AI) platform that it hopes will transform its approach to life sciences investment. The platform harnesses billions of data points spanning scientific literature, emerging therapeutic fields, and technological breakthroughs, and connects them with the firm’s own proprietary knowledge accumulated over 50 years.