Depression is Associated with Treatment Response Trajectories in Adults with Prolonged Grief Disorder: A Machine Learning Analysis.

Unlabelled: Although evidence-based treatments for Prolonged Grief Disorder (PGD) exist, pretreatment characteristics associated with differential improvement trajectories have not been identified. To identify clinical factors relevant to optimizing PGD treatment outcomes, we used unsupervised and supervised machine learning to study treatment effects from a double-blinded, placebo-controlled, randomized clinical trial. Participants were randomized into four treatment groups for 20 weeks: citalopram with grief-informed clinical management, citalopram with prolonged grief disorder therapy (PGDT), pill placebo with PGDT, or pill placebo with clinical management.

ChatGPT as a patient education tool in colorectal cancer-An in-depth assessment of efficacy, quality and readability.

Aim: Artificial intelligence (AI) chatbots such as Chat Generative Pretrained Transformer-4 (ChatGPT-4) have made significant strides in generating human-like responses. Trained on an extensive corpus of medical literature, ChatGPT-4 has the potential to augment patient education materials. These chatbots may be beneficial to populations considering a diagnosis of colorectal cancer (CRC).

Baseline predictors associated with successful weight loss among breast cancer survivors in the Lifestyle, Exercise, and Nutrition (LEAN) study.

Purpose: To investigate participant characteristics associated with clinically meaningful weight loss (≥ 5% weight loss) among breast cancer survivors participating in the Lifestyle, Exercise, and Nutrition (LEAN) study.

Methods: Female breast cancer survivors with a body mass index ≥ 25 kg/m were enrolled in a 6-month weight loss intervention. Univariate and multivariable logistic regression were used to determine baseline predictors of clinically meaningful weight loss (< vs.