Oral methadone and buprenorphine remain gold standards for OUD. New depot buprenorphine, retarded morphine, and diacetylmorphine offer alternatives, especially for refractory patients. Depot options improve adherence, supporting tailored, long-term management.
At Psych Congress 2025, thought leaders emphasized a shift in psychiatric care from symptom control toward enhancing patient functioning and quality of life. Dr. Julie Carbray, Clinical Professor of Psychiatry and Nursing at the University of Illinois Chicago, discussed incorporating sleep science and digital therapeutics into treatment strategies for depression and ADHD to support whole-person care. Dr. Christoph Correll, Professor of Psychiatry and Molecular Medicine at Zucker School of Medicine, presented data on long-acting subcutaneous therapy for schizophrenia, emphasizing its sustained clinical impact. Collectively, these insights highlight psychiatry’s evolving commitment to evidence-based, patient-centered approaches.
                     
                                                               Significant association of sensitivity to thyroid hormones with liver fibrosis: Analysis based on NHANES data - PubMed
Source : https://pubmed.ncbi.nlm.nih.gov/41047283/
The sensitivity to thyroid hormones was significantly related to the liver fibrosis, which was more valuable than the common thyroid profile.
This study identifies a strong association between thyroid hormone sensitivity and liver fibrosis, revealing that thyroid indices—especially TT4RI—interact with sleep disorder, sodium, and lymphocyte levels, highlighting metabolic and endocrine interconnections.
                     
                                                               Detailed evaluation of sleep apnea using heart rate variability: a machine learning and statistical method using ECG data - PubMed
Source : https://pubmed.ncbi.nlm.nih.gov/41001210/
HRV parameters can efficiently reflect autonomic disruption induced by SAAs, especially nonlinear and frequency domain indices. Augmented by machine learning, HRV analysis is a powerful and scalable technique toward real-time,...
Study of ECG-derived heart rate variability in sleep apnea shows machine learning classifiers, especially XGBoost, achieve high accuracy, highlighting HRV as a scalable, noninvasive biomarker for real-time digital sleep medicine.

                                
              