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Researchers Develop Machine-Learning Prediction Model to Improve Medical Management of Acromegaly

Machine learning (ML), a type of artificial intelligence, could be used to predict how patients with acromegaly respond to first-generation somatostatin receptor ligands (fg-SRLs), according a study recently published in The Journal of Clinical Endocrinology & Metabolism. Researchers led by Mônica Gadelha, MD, PhD, of the Endocrine Unit and Neuroendocrinology Research Center at the Medical...
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Trial Compares Two Gestational Diabetes Screening Methods

There were no significant differences in health outcomes for pregnant women who were diagnosed with gestational diabetes or their babies using two different clinically recommended screening methods, according to results from a large-scale clinical trial conducted by Kaiser Permanente researchers and published in The New England Journal of Medicine. Although there is evidence that treating...
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From ENDO2021: Phase 3 Trial Results Show Patient Preference for First Oral Therapy for Acromegaly

Data from a Phase 3 trial presented this week at ENDO2021 showed that octreotide capsules improved clinical symptoms and other patient-reported outcomes compared to long-acting injectable somatostatin receptor ligands (iSRLs) in patients with acromegaly. The data went on to show that 90% of patients receiving octreotide capsules elected to enroll in the open-label extension (OLE)...
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Factors Other than Gestational Weight Gain Linked to Metabolic Complications of Pregnancy

Factors other than how much weight a woman gains during pregnancy may contribute to metabolic complications such as gestational diabetes (GDM), according to a paper recently published in Journal of the Endocrine Society. Researchers led by Fernanda L. Alvarado, MD, of the Mother Infant Research Institute at Tufts Medical Center in Boston, Mass., point out...