Results 101 to 110 of about 135,038 (281)
Utilizing Digital Health to Collect Electronic Patient-Reported Outcomes in Prostate Cancer: Single-Arm Pilot Trial [PDF]
Background: Measuring patient-reported outcomes (PROs) requires an individual’s perspective on their symptoms, functional status, and quality of life. Digital health enables remote electronic PRO (ePRO) assessments as a clinical decision support tool to ...
Dicker, MD, PhD, Adam +5 more
core +1 more source
This study developed a hierarchical targeting nanoplatform, siTREM2@ETP‐PEOz‐OMVs, against triple‐negative breast cancer (TNBC) bone metastasis. It precisely delivers therapeutic siTREM2 to monocytes/macrophages within the metastatic niche. This intervention dually regulates cell fate: reprogramming immunosuppressive macrophages and inhibiting ...
Fanglu Chen +12 more
wiley +1 more source
Autoimmune Encephalitis in Acute Care—Pathology, Diagnosis, and Management
ABSTRACT Autoimmune encephalitis (AE) is characterized by immune‐mediated inflammation of the brain parenchyma, presenting with various neurological syndromes, including but not limited to seizures, altered consciousness, neuropsychiatric symptoms, and movement disorders.
Suneesh Thilak +9 more
wiley +1 more source
There was a nutritional issue in the training camp of Central Java BPPLOP (Balai Pemusatan Pendidikan Latihan Olahraga Pelajar/Student Sport Education and Training Center).
Irwan Budiono +3 more
doaj +1 more source
Starvation of Cancer via Induced Ketogenesis and Severe Hypoglycemia
Neoplasms are highly dependent on glucose as their substrate for energy production and are generally not able to catabolize other fuel sources such as ketones and fatty acids.
Kapelner, Adam, Vorsanger, Matthew
core +1 more source
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi +3 more
wiley +1 more source
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network
A deep learning network was used to predict future blood glucose levels, as this can permit diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia.
Bally, Lia +3 more
core +1 more source
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
A Review of Studies on Food-Derived Bioactive Peptides Driven by Artificial Intelligence and Progress in Their Application in Personalized Nutrition Intervention [PDF]
With the advance of food and nutritional science, personalized nutrition intervention has gradually emerged as a crucial approach for promoting health and preventing chronic diseases.
DING Haohan, LIANG Zhiran, SONG Xiaodong, CUI Xiaohui, DONG Guanjun, WU Rina
doaj +1 more source
A zebrafish model carrying an identical human RHO S334X allele reveals two independent genetic layers shaping retinitis pigmentosa (RP) severity: a protective 3‐bp cis‐regulatory insertion that attenuates transgene expression, and a dominant trans‐acting modifier that restores a severe phenotype.
Cong Cui +9 more
wiley +1 more source

