Results 171 to 180 of about 12,985,276 (293)
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Upcycling Vegetable Waste Into Functional Food Ingredients via Synergistic Microbial Engineering and Artificial Intelligence. [PDF]
Sun J, Ma D, Meng Q, Bi C, Li J, Shan A.
europepmc +1 more source
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang +23 more
wiley +1 more source
Development and implementation of a community-oriented approach to food safety management in a Rural Thai community. [PDF]
Keawdounglek V +2 more
europepmc +1 more source
ABSTRACT Objective Multiple sclerosis (MS) is a neurodegenerative demyelinating disease of the central nervous system. This study aimed to identify micro‐RNA (miRNA)–mRNA regulatory networks underlying region‐specific molecular mechanisms in white matter and gray matter lesions in progressive MS.
Adya Sapra +5 more
wiley +1 more source
Sustaining Health Promotion in Australian Supermarkets: Qualitative Perspectives From the Reach for the Stars Programme. [PDF]
Bennett R +7 more
europepmc +1 more source
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
Artificial intelligence in child nutrition and eating behavior: from prediction to gastronomic mediation. [PDF]
Xing L, Wu X.
europepmc +1 more source
Molecular Atlas of Key Food Odorants Reveals Mixture-Level Organization and Enables Generative Aroma Design. [PDF]
Zhang J +5 more
europepmc +1 more source
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns +2 more
wiley +1 more source

