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Higher CONUT nutritional scores strongly predict poorer survival and greater lung function decline in PPF, highlighting malnutrition as a key modifiable risk factor.

Levels of GDF15 and OPN can accurately distinguish uterine sarcoma from benign leiomyoma, with GDF15 also serving as an independent predictor of disease progression.

The algorithm could outperform existing noninvasive tools for identifying advanced fibrosis in MASH without producing indeterminate results.

Patients achieve a high 2-year survival and deep MRD-negative remissions with CAR T-cell therapy followed by stem cell transplant in B-cell ALL.

Long-term data suggest stress echocardiography can uncover impaired exercise capacity and predict worse outcomes in patients.

Shared savings reflects continued growth of long-term-care ACOs in Medicare’s value-based models.

New treatment options for idiopathic pulmonary fibrosis (IPF) and progressive pulmonary fibrosis (PPF) could enhance patient care and monitoring.

AI, especially deep learning applied to blood smear imaging, can greatly improve the speed and accuracy of leukemia detection and subtype classification.

Mirvetuximab soravtansine, particularly in combination regimens, showed promising efficacy and an acceptable safety profile in recurrent ovarian cancer.

The HIV chatbot was noninferior in increasing self-testing compared with the real-time support by human administrators.



































































