Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data.

Predicting whether a patient with cancer will benefit from immune checkpoint inhibitors (ICIs) without resorting to advanced genomic or immunologic assays is an important clinical need. To address this, we developed and evaluated SCORPIO, a machine learning system that utilizes routine blood tests (complete blood count and comprehensive metabolic profile) alongside clinical characteristics from 9,745 ICI-treated patients across 21 cancer types. SCORPIO was trained on data from 1,628 patients across 17 cancer types from Memorial Sloan Kettering Cancer Center.

Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus Autofluorescence.

Purpose: The region of growth (ROG) of geographic atrophy (GA) throughout the macular area has an impact on visual outcomes. Here, we developed multiple deep learning models to predict the 1-year ROG of GA lesions using fundus autofluorescence (FAF) images.

Design: In this retrospective analysis, 3 types of models were developed using FAF images collected 6 months after baseline to predict the GA lesion area (segmented lesion mask) at 1.

A Randomized, Controlled Trial of In-Hospital Use of Virtual Reality to Reduce Preoperative Anxiety Prior to Cardiac Surgery.

Objective: To study the effectiveness of virtual reality (VR) in reducing anxiety levels in patients undergoing first-time sternotomy for cardiac surgery.

Patients And Methods: A total of 100 adult patients scheduled for cardiac surgery at Mayo Clinic in Rochester, Minnesota, USA, was recruited from April 19, 2022, to October 12, 2022. Before surgery, patients wore a physiological monitor to record vital signs.

Social Determinants of Health Affecting Retinopathy of Prematurity Follow-up Attendance.

Purpose: To identify social determinants of health (SDOH) associated with follow-up attendance of pre-term infants with retinopathy of prematurity (ROP) after neonatal intensive care unit (NICU) discharge.

Methods: This retrospective cohort study, conducted at a single academic tertiary care center, included preterm infants screened for ROP from July 2018 to December 2022. Sociodemographic and clinical data were collected from a preexisting NICU database.

Downregulation of PAX1 in OSCC Enhances Stemness and Immunosuppression via IFIT1 and PD-L1 Pathways.

Objective: Our study investigated how arecoline-induced extracellular vesicle (EV) secretion suppresses PAX1 protein production through DNA hypermethylation and examined whether PAX1 downregulation enhances cancer stemness and immunosuppression in the tumor microenvironment.

Materials And Methods: EVs were isolated from SAS/TW2.6 cancer cell lines using ultracentrifugation and identified using transmission electron microscopy.