A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer.

Background: With rectum-sparing protocols becoming more common for rectal cancer treatment, this study aimed to predict the pathological complete response (pCR) to preoperative chemoradiotherapy (pCRT) in rectal cancer patients using pre-treatment MRI and a radiomics-based machine learning approach.

Methods: We divided MRI-data from 102 patients into a training cohort ( = 72) and a validation cohort ( = 30). In the training cohort, 52 patients were classified as non-responders and 20 as pCR based on histological results from total mesorectal excision.

Machine learning predicts pulmonary Long Covid sequelae using clinical data.

Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many symptoms that in many cases affect the pulmonary system. These, in turn, may deteriorate the patient's quality of life making it easier to develop severe complications. Being able to predict this syndrome is therefore important as this enables early treatment.

MiR203a-3p as a potential biomarker for synovial pathology associated with osteoarthritis: a pilot study.

Background: Osteoarthritis (OA) is a degenerative musculoskeletal disease that significantly impacts the quality of life. Currently, no validated biomarkers for early detection of OA are defined. The possibility of discovering OA biomarkers is the focus of this study.

Transition to Enteral Triazole Antifungal Therapy for Pediatric Invasive Candidiasis: Secondary Analysis of a Multicenter Cohort Study Conducted by the Pediatric Fungal Network.

Of 319 children with invasive candidiasis, 67 (21%) transitioned from intravenous to enteral antifungal therapy. Eight (12%) transitioned back to intravenous antifungal therapy, one due to perceived treatment failure defined by clinical progression or worsening. Global treatment response at study completion was successful in 66 participants who transitioned to enteral therapy.