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.
The field of peptides is exploding, Perpetual Medicines Corp. co-founder, chairman and CEO Kerry L. Blanchard recently told BioWorld, “with a projected growth rate far surpassing large and small molecules, and gene therapies. The area is underinvested, too, so this is a good opportunity to focus on peptide therapeutics.”
If we unraveled the DNA of the 46 chromosomes of a single human cell, it would barely measure 2 meters. If we did the same with the rest of the body, if we aligned the 3 billion base pairs of its 5 trillion cells, we could travel the distance from the Earth to the Sun more than 100 times. It seems unreachable. However, that is the unit of knowledge of the large sequencing projects achieved in 2023. From the generation of the human pangenome to cell-by-cell maps of the brain and kidneys, scientists this year have completed several omics collaborative projects stored in large international databases. Now, what’s the plan?
The field of peptides is exploding, Perpetual Medicines Corp. co-founder, chairman and CEO Kerry L. Blanchard recently told BioWorld, “with a projected growth rate far surpassing large and small molecules, and gene therapies. The area is underinvested, too, so this is a good opportunity to focus on peptide therapeutics.” Blanchard, who was most recently CEO of Shanghai-based Everest Medicines Ltd. and previous chief scientific officer (CSO) of China’s Innovent Biologics Co. Ltd., is now spearheading efforts to develop novel peptide therapeutics at his own biotech, Perpetual, founded in March 2023.
If we unraveled the DNA of the 46 chromosomes of a single human cell, it would barely measure 2 meters. If we did the same with the rest of the body, if we aligned the 3 billion base pairs of its 5 trillion cells, we could travel the distance from the Earth to the Sun more than 100 times. It seems unreachable. However, that is the unit of knowledge of the large sequencing projects achieved in 2023. From the generation of the human pangenome to cell-by-cell maps of the brain and kidneys, scientists this year have completed several omics collaborative projects stored in large international databases. Now, what’s the plan?
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.
Fauna Bio Inc. has signed a multi-year agreement with Eli Lilly and Co. to apply Fauna’s Convergence artificial intelligence (AI) platform to support preclinical drug discovery efforts in obesity.
Ono Pharmaceutical Co. Ltd. has entered into a discovery collaboration agreement with Evqlv Inc. to generate novel antibodies against multiple targets selected by Ono, for the development of innovative antibody drugs.
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.
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