Older people with obesity and overweight require access to proven treatment options and care to improve overall health and reduce other related health care costs. This briefing will feature medical and patient perspectives from Dr. Michael G. Knight and Dr. Kathryn Starr, as well as Jennifer L. Pettis, a registered nurse and patient advocate. Panelists will discuss the importance of the Center for Medicare and Medicaid’s (CMS) proposed rule (CMS-4208-P) which would expand access to anti-obesity medications for Medicare and Medicaid beneficiaries living with obesity.

It is expected that in 2025, approximately three million articles will be indexed in Scopus and the Web of Science. If each undergoes peer review by two experts, and an additional 2 million articles undergo peer review, but are rejected—approximately 10 million peer reviews will be conducted this year—a staggering number that is likely to grow as the biomedical enterprise, and the number of peer-review journals increase.

 

According to an editorial in the journal Critical Care Medicine, in the coming years, artificial intelligence (AI) should be part of the future of peer review.

New research has been published ahead-of-print by The Journal of Nuclear Medicine (JNM). JNM is published by the Society of Nuclear Medicine and Molecular Imaging, an international scientific and medical organization dedicated to advancing nuclear medicine, molecular imaging, and theranostics—precision medicine that allows diagnosis and treatment to be tailored to individual patients in order to achieve the best possible outcomes.

Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy. The model harnesses whole-slide tumor imaging data and gene expression analyses in a way that outperforms previous models using a single data type.