When politics trumps patients
Elected to make America healthy again, the actions of the Trump administration have undermined health globally.
Elected to make America healthy again, the actions of the Trump administration have undermined health globally.
This paper evaluates the integration of AI co-pilots in biomedical research workflows, focusing on their role as research partners rather than mere task executors.
A novel genetic revelation unravels a single gene's direct link to mental illness, a rarity in the complex domain of genetics. This could serve as a beacon in understanding mental health intricacies and devising targeted interventions.
This paper presents an approach to automate the discovery of neural mechanisms behind cognitive errors using recurrent neural networks (RNNs). This innovation sheds light on how fitting RNNs to rich patterns of behavior can reveal cognitive functions, including swap errors.
The study explores the neural correlates associated with memory reinforcements in children and young adults, revealing crucial differences in memory retention patterns.
The study investigates how twelve specific phosphomimetic mutations influence the assembly of tau protein into paired helical filaments, which is important for understanding neurodegenerative diseases.
Neuronal activity induced by the psychedelic drug strengthens inputs from sensory brain areas and weakens cortico-cortical recurrent loops.
This study aims to explore RNA editing as a potential biomarker for antidepressant response among patients with unipolar and bipolar depression. The study is not yet recruiting participants.
This study investigates the effects of virtual reality technology on alleviating depression, anxiety, and stress for Palestinian patients undergoing breast biopsy. The study is not yet recruiting participants.
This pilot study examines the efficacy of a one-day cognitive behavioral therapy intervention aimed at addressing postpartum depression in mothers. The study is not yet recruiting participants.
This brief research report introduces the RS-STGCN model, which leverages regional synergy within spatio-temporal graph networks to effectively recognize emotions.
This study explores the relationship between an individual's chronotype, which refers to their natural preference for morning or evening activity, and various psychiatric symptoms across different age groups in adults.
This study evaluates the effectiveness of AI-generated images in supporting self-expression of mental distress among international students. It describes a dataset comprising descriptions of mental distress and AI-generated images, revealing that prompt design substantially affects perceived helpfulness in expressing feelings.
The study presents BioMedGPT-Mol, a multi-task learning framework for understanding and generating molecular structures, aiming to enhance chemical research and drug discovery.
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
A new review highlights five major ways microplastics can harm the brain, raising concerns that they may worsen neurodegenerative diseases like Alzheimer’s and Parkinson’s. These tiny particles can trigger inflammation, disrupt the blood–brain barrier, generate oxidative stress, impair mitochondria, and damage neurons.