Results 211 to 220 of about 469,183 (313)

Microneedles at the Forefront of Next Generation Theranostics

open access: yesAdvanced Science, EarlyView.
The TOC figure illustrates the revolutionary role of microneedles in modern medicine, showcasing their dual diagnostic and therapeutic functions. On the left, microneedles access interstitial fluid for real‐time monitoring of biomarkers like glucose and hormones.
Chan Wang   +8 more
wiley   +1 more source

High Fat Low Carbohydrate Diet Is Linked to CNS Autoimmunity Protection

open access: yesAdvanced Science, EarlyView.
Mapping global epidemiological data to macronutrient supply reveals high carbohydrate, in contrast to high fat supply, associates with increased multiple sclerosis (MS) prevalence and incidence. This is confirmed in a mouse MS model, experimental autoimmune encephalomyelitis (EAE), using isocaloric diets: a high carbohydrate diet aggravates, a high ...
Duan Ni   +15 more
wiley   +1 more source

Gut Microbiota Modulation by Inulin Improves Metabolism and Ovarian Function in Polycystic Ovary Syndrome

open access: yesAdvanced Science, EarlyView.
This work proposes a novel strategy targeting gut microbiota for managing polycystic ovary syndrome (PCOS). Inulin, a gut microbiota modulator, notably boosts the growth of short‐chain fatty acids (SCFAs)‐producers, represented by Bifidobacterium, thereby improving glucolipid metabolism and ovarian function of PCOS through suppressing the inflammatory ...
Lulu Geng   +8 more
wiley   +1 more source

Adherence to low carbohydrate diet is inversely associated with metabolic syndrome: evidence from MASHAD study. [PDF]

open access: yesBMC Endocr Disord
Soltani S   +8 more
europepmc   +1 more source

STUDIES ON CARBOHYDRATE METABOLISM IN RAT LIVER SLICES

open access: hybrid, 1957
George F. Cahill   +3 more
openalex   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

open access: yesAdvanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong   +20 more
wiley   +1 more source

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