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Two modelling studies offer compelling evidence that less-than-perfect adherence to HIV pre-exposure prophylaxis can still provide reasonable protection for cisgender women — providing optimism for a more person-centered approach and lower discontinuation rates.
Epidural electrical stimulation of the spinal cord alleviated freezing-of-gait and other postural impairments in a patient with Parkinson’s disease, potentially addressing an unmet need and offering an exciting new avenue for therapy.
A new approach that combines CAR T cells with serial mRNA vaccine injections facilitates robust anti-neoplastic activity in patients with genitourinary cancers, which will pave the way for a promising new targeted treatment strategy.
A novel AI-based decision support system for insulin titration in type 2 diabetes reveals important considerations surrounding the feasibility of clinical implementation.
Researchers have developed a screening tool for autism that uses computer vision and machine learning to analyze autism-related behaviors — but greater reliability and robust validation will be needed if such tools are to be used in primary care settings.
The response to neoadjuvant treatment can be used to stratify individuals with muscle-invasive bladder cancer according to their risk of progression, enabling bladder-sparing approaches for some — and heralding a shift from the existing one-size-fits-all approach.
As the search for new and better treatments for Alzheimer’s disease continues, a phase 1 proof-of-concept study evaluating senolytic therapy breaks new ground.
Mounting evidence, including the recent (and unprecedented) phase 2 data on retatrutide, supports a role for incretin hormone agonists in treating obesity. But with great power comes great responsibility.
Using pathology data from Twitter, researchers have built a visual-language model for classifying and retrieving histopathology images — representing a milestone in the development of multifunctional foundational artificial intelligence models in computational pathology.
Despite an urgent need, approved and clinically usable biomarkers for non-alcoholic steatohepatitis (NASH) remain elusive — but a new study moves the field closer to this goal.
Innovative clinical trial designs with a patient-centered mission are crucial to advancing modern cancer care; the adaptive phase 2 umbrella study CTONG1702 provides one model for this new era of trial design.
In individuals with anorexia nervosa, psilocybin therapy comes with specific risks and concerns; but an encouraging phase 1 trial underscores the necessity for more research into classic psychedelics to address the urgent need for effective treatments.
Escalating severity and frequency of heatwaves have outpaced the effectiveness of existing prevention and adaptation measures; there is urgency for reassessment, enhancement and implementation of strategies to mitigate health impacts in dealing with this global health challenge.
A study investigates the links between fine-scale populations and outcomes including healthcare use and disease risk in a Los Angeles biobank, unveiling crucial insights into healthcare disparities in the USA.
Artificial intelligence in combination with human expertise could be the optimal approach to improving diagnostic accuracy while maintaining a safety net in clinical imaging.
Strategies to monitor and modulate gut microorganisms to improve immunity and responses to cancer immunotherapy are increasingly available, with opportunities to expand and iterate on these approaches to treat, intercept and prevent cancer (and other diseases) altogether.
Unexpectedly, new data show that clonal hematopoiesis is associated with protection from Alzheimer’s disease; it is imperative that future studies unravel the complex tissue–disease contexts in which clonal hematopoiesis arises and contributes to aging-associated diseases.
A new study showing that genetic and non-genetic factors contribute to autistic traits calls for a fundamental realignment of the concepts and methods of genomics, with a critical understanding of the biosocial complexity of autism.
