Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts.

Purpose: Worldwide clinical knowledge is expanding rapidly, but physicians have sparse time to review scientific literature. Large language models (eg, Chat Generative Pretrained Transformer [ChatGPT]), might help summarize and prioritize research articles to review. However, large language models sometimes "hallucinate" incorrect information.

Design of a pragmatic randomized implementation effectiveness trial testing a health system wide hypertension program for older adults.

Hypertension control remains poor. Multiple barriers at the level of patients, providers, and health systems interfere with implementation of hypertension guidelines and effective lowering of BP. Some strategies such as self-measured blood pressure (SMBP) and remote management by pharmacists are safe and effectively lower BP but have not been effectively implemented.

Multiple Pharmacotherapy Adaptations for Smoking Cessation Based on Treatment Response in Black Adults Who Smoke: A Randomized Clinical Trial.

Importance: Adapting to different smoking cessation medications when an individual has not stopped smoking has shown promise, but efficacy has not been tested in racial and ethnic minority individuals who smoke and tend to have less success in quitting and bear a disproportionate share of tobacco-related morbidity and mortality.

Objective: To evaluate efficacy of multiple smoking cessation pharmacotherapy adaptations based on treatment response in Black adults who smoke daily.

Design, Setting, And Participants: This randomized clinical trial of adapted therapy (ADT) or enhanced usual care (UC) included non-Hispanic Black adults who smoke and was conducted from May 2019 to January 2022 at a federally qualified health center in Kansas City, Missouri.

Machine Learning Prediction of Urine Cultures in Primary Care.

Context: Antibiotics for suspected urinary tract infection (UTI) is appropriate only when an infection is present. Urine culture is definitive but takes >1 day to result. A machine learning urine culture predictor was recently devised for Emergency Department (ED) patients but requires use of urine microscopy ("NeedMicro" predictor), which is not routinely available in primary care (PC).

Adaptation and External Validation of Pathogenic Urine Culture Prediction in Primary Care Using Machine Learning.

Background: Urinary tract infection (UTI) symptoms are common in primary care, but antibiotics are appropriate only when an infection is present. Urine culture is the reference standard test for infection, but results take >1 day. A machine learning predictor of urine cultures showed high accuracy for an emergency department (ED) population but required urine microscopy features that are not routinely available in primary care (the NeedMicro classifier).

Protocol from a randomized clinical trial of multiple pharmacotherapy adaptations based on treatment response in African Americans who smoke.

Background: The standard of care in tobacco treatment is to continue individuals who smoke on the same cessation medication, even when they do not stop smoking. An alternative strategy is to adapt pharmacotherapy based on non-response. A handful of studies have examined this approach, but they have adapted pharmacotherapy only once and/or focused on adaptation distal rather than proximal to a failed quit attempt.

Implementing a home-based virtual hypertension programme-a pilot feasibility study.

Introduction: Implementing a health system-based hypertension programme may lower blood pressure (BP).

Methods: We performed a randomized, controlled pilot study to assess feasibility, acceptability, and safety of a home-based virtual hypertension programme integrating evidence-based strategies to overcome current barriers to BP control. Trained clinical pharmacists staffed the virtual collaborative care clinic (vCCC) to remotely manage hypertension using a BP dashboard and phone "visits" to monitor BP, adherence, side effects of medications, and prescribe anti-hypertensives.

NMR structure/function relationships of peptides corresponding to the C1B1 Region of PKC gamma.

The region (101-112) of C1B domain in PKC gamma plays a crucial role in the activation of the enzyme and subsequent gap junction inhibition. Substitution studies on peptides correlating to the C1B region show that a flexible structure and ability to be phosphorylated on serine 109 are critical for this purpose.

Protein kinase C gamma mutations in the C1B domain cause caspase-3-linked apoptosis in lens epithelial cells through gap junctions.

Failure to control oxidative stress is closely related to aging and to a diverse range of human diseases. We have reported that protein kinase C gamma (PKCgamma) acts as a primary oxidative stress sensor in the lens. PKCgamma has a Zn-finger C1B stress switch domain, residues 101-150.

PKCgamma knockout mouse lenses are more susceptible to oxidative stress damage.

Cataracts, or lens opacities, are the leading cause of blindness worldwide. Cataracts increase with age and environmental insults, e.g.