Multiclass Synthetic Accessibility Prediction.

Evaluating synthetic accessibility of molecules is an integral component of the drug discovery process. While the application of machine learning models to predict whether small molecules are easy or hard to synthesize has gained attention recently, predetermined thresholds and data set imbalances present challenges for these binary classification approaches. In this study, we introduce a novel multiclass fold-ensembled classification approach to predict the minimum number of steps needed to synthesize a small molecule.

Post-concussion symptom burden and dynamics: Insights from a digital health intervention and machine learning.

Individuals who sustain a concussion can experience a range of symptoms which can significantly impact their quality of life and functional outcome. This study aims to understand the nature and recovery trajectories of post-concussion symptomatology by applying an unsupervised machine learning approach to data captured from a digital health intervention (HeadOn). As part of the 35-day program, patients complete a daily symptom diary which rates 8 post-concussion symptoms.

Cognitive Behavioral Therapy Reduces Unhelpful Thinking Among People with Musculoskeletal Symptoms: A Meta-Analysis.

Background: Greater unhelpful thinking is associated with greater musculoskeletal discomfort and incapability. Cognitive-behavioral therapy (CBT) fosters healthy thinking to help alleviate symptoms.

Questions: In a meta-analysis of randomized control trials (RCT) of CBT for unhelpful thinking among people with musculoskeletal symptoms, we asked: 1) Does CBT reduce unhelpful thinking and feelings of distress, and improve capability, in individuals with musculoskeletal symptoms? 2) Are outcomes affected by CBT delivery methods?

Methods: Following QUOROM guidelines, we searched databases using keywords of pain catastrophizing, kinesiophobia, cognitive-behavioral therapy, musculoskeletal and variations.

Being and Doing Together in a Naturally Occurring Retirement Community: Pandemic Experiences of Older Adults.

Developing effective, sustainable strategies that promote social inclusion, reduce isolation, and support older adults' wellbeing continues to be important to aging communities in Canada. One strategy that targets community-living older adults involves identifying naturally occurring retirement communities (NORCs) and supporting them through supportive service programs (NORC-SSPs). This qualitative descriptive study utilized semi-structured interviews to explore how older adults living in a NORC supported by an SSP, sought to build, and maintain, a sense of community during the COVID-19 pandemic.