Biomarkers.

Background: biomarkers are essential in order to make a diagnosis with a high level of accuracy in patients with cognitive and behavior complaints. However, molecular imaging biomarkers not always provide an answer in daily clinical practice.

Methods: retrospective and descriptive study in patients with Amyloid PET (APscans) implemented according to rational use of this technic, between January 2019-November 2023 in Neurology Department, Infanta Leonor Hospital, Madrid, Spain.

Influence of cadence manipulation on running biomechanics in high school cross-country runners.

Increasing cadence is an intervention to reduce injury risk for adolescent long-distance runners. It is unknown how adolescents respond biomechanically when running with a higher than preferred cadence. We examined the influence of increasing cadence on peak joint angles, moments and powers, and ground reaction forces in long-distance runners.

Large language models in cancer: potentials, risks, and safeguards.

This review examines the use of large language models (LLMs) in cancer, analysing articles sourced from PubMed, Embase, and Ovid Medline, published between 2017 and 2024. Our search strategy included terms related to LLMs, cancer research, risks, safeguards, and ethical issues, focusing on studies that utilized text-based data. 59 articles were included in the review, categorized into 3 segments: quantitative studies on LLMs, chatbot-focused studies, and qualitative discussions on LLMs on cancer.

Weight Loss and Regain After Bariatric Surgery: Importance of the Psychological Therapy in Postoperative Outcomes.

Background: Obesity is a chronic disease constituting a public health issue, and its prevalence is alarmingly on the rise worldwide. This disease represents a chronic and multifactorial condition, one of the factors being related to the psychological aspect of the patients. Bariatric is an effective tool for obesity control, with weight regain observed more frequently between the third and sixth postoperative years.

Wearable Solutions Using Physiological Signals for Stress Monitoring on Individuals with Autism Spectrum Disorder (ASD): A Systematic Literature Review.

Some previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD.