Targeted therapy for older patients with an oncogene driven non-small cell lung cancer: Recommendations from a SIOG expert group.

Lung cancer is mostly a disease of aging with approximately half of newly diagnosed patients being 70 years or older. Treatment decisions in this population pose unique challenges because of their heterogeneity with regards to daily functioning, cognition, organ function, comorbidities and polypharmacy, their underrepresentation in clinical trials and the impact of treatment on patient-centered outcomes, particularly in frail patients. The advent of targeted therapies and immunotherapy has revolutionized the management of advanced non-small cell lung cancer (NSCLC).

Glaucoma detection and staging from visual field images using machine learning techniques.

Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.

Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.

Confinement and Catalysis within Designed Peptide Barrels.

protein design has advanced such that many peptide assemblies and protein structures can be generated predictably and quickly. The drive now is to bring functions to these structures, for example, small-molecule binding and catalysis. The formidable challenge of binding and orienting multiple small molecules to direct chemistry is particularly important for paving the way to new functionalities.

Multi-contextual Factors that Influence Work-Life Balance of Family Caregivers of Adults with Parkinson's Disease.

Objective: The purpose of study was to explore family caregiver perspectives on work-life balance while caring for adults with Parkinson's Disease.

Methods: The study was performed using a convergent mixed methods design and a revised adaptation of the Work-Life Conflict model. Caregivers completed surveys followed by semi-structured interviews (N = 40).