As an alternative to assessments performed by human experts, artificial intelligence (AI) is currently being used for screening fundus images and monitoring diabetic retinopathy (DR). Although AI models can provide quasi-clinician diagnoses, they rarely offer new insights to assist clinicians in predicting disease prognosis and treatment response. Using longitudinal retinal imaging data, we developed and validated a predictive model for DR progression: AI-driven Diabetic Retinopathy Progression Prediction Algorithm (ADRPPA).
View Article and Find Full Text PDFAnorexia nervosa (AN) is a psychiatric eating disorder characterized by body mass index (BMI) ≤ 18.5, fear of gaining weight, and a distorted perception of body weight. With increasing rates of myopia, there is a population of patients who concurrently develop AN and may seek corneal refractive surgery.
View Article and Find Full Text PDFSequence-defined polymers composed of a large pool of chemically distinct monomers (SDPs) have been pursued to achieve the structural and functional precisions exhibited by biopolymers in nonbiological environments. In contrast to the incremental growth of SDPs by sequential addition of individual monomers, the iterative exponential growth (IEG) method allows the synthesis of high molecular-weight SDPs, but their sequences have been composed mostly of binary monomers. Consequently, achieving high molecular-weight SDPs built with a large pool of monomers remains a challenge.
View Article and Find Full Text PDFPurpose: The NCI-MATCH trial assigned patients with solid tumors, lymphomas, or multiple myeloma to targeted therapies on the basis of identified genetic alterations from tumor biopsies. In preclinical models, ()-inactivated tumors display sensitivity to focal adhesion kinase (FAK) inhibition. The EAY131-U subprotocol evaluated the efficacy of defactinib, a FAK inhibitor, in patients with -altered tumors.
View Article and Find Full Text PDFRecovery Dharma is a Buddhist-inspired mutual-aid recovery program for those with substance use disorders and behavioral addictions. The program combines meditation, emotion regulation techniques, literature, and Buddhist practices during meetings to help people achieve emotional balance and improve their well-being. Despite the growing popularity of Recovery Dharma, how the practices in this program predict recovery resources remain largely unknown.
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