Results 181 to 190 of about 2,146,866 (353)

The Role of Frequent Screening or Diagnostic Testing of Serum Cryptococcal Antigen in Liver Transplant Recipients: A Descriptive Epidemiology [PDF]

open access: gold
Toshiki Miwa   +8 more
openalex   +1 more source

Epidemiology of antimicrobial resistance (AMR) on California dairies: descriptive and cluster analyses of AMR phenotype of fecal commensal bacteria isolated from adult cows

open access: gold, 2021
Essam M. Abdelfattah   +14 more
openalex   +1 more source

Cholesterol Promotes Lung Adenocarcinoma Brain Metastasis by Stabilizing EGFR Protein to Drive EMT, Metabolic Reprogramming, and Premetastatic Niche Formation

open access: yesAdvanced Science, EarlyView.
Cholesterol is revealed as a multitasking fuel for lung adenocarcinoma brain metastasis: it locks EGFR at the membrane to sustain AKT/NF‐κB–driven glycolysis and EMT, loosens the blood–brain barrier by promoting Claudin‐5 loss, and rewires microglia through IL‐4R lipid‐raft–JAK1/STAT6 signaling.
Ying Chen   +14 more
wiley   +1 more source

Prognostic Impact of Histologic Subtypes in Mismatch Repair‐Deficient/Microsatellite Instability‐High Colorectal Cancer: A Single‐Center Retrospective Study of 1127 Stage 0–IV Patients

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Deficient mismatch repair/microsatellite instability‐High (dMMR/MSI‐H) colorectal cancer (CRC) generally confers a favorable survival yet is paradoxically enriched for poorly differentiated (Por) histology, which is linked to aggressive behavior.
Tomoyuki Momma   +9 more
wiley   +1 more source

Descriptive epidemiology of fatal respiratory outbreaks and detection of a human‐related metapneumovirus in wild chimpanzees (Pan troglodytes) at Mahale Mountains National Park, Western Tanzania [PDF]

open access: bronze, 2008
Taranjit Kaur   +16 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Epidemiology of COVID-19 in Yemen: A Descriptive Study [PDF]

open access: gold, 2020
Redhwan Ahmed Al-Naggar   +3 more
openalex   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Boys' Lacrosse (2008–2009 Through 2013–2014) and National Collegiate Athletic Association Men's Lacrosse (2004–2005 Through 2013–2014) [PDF]

open access: diamond, 2019
Lauren A. Pierpoint   +10 more
openalex   +1 more source

Home - About - Disclaimer - Privacy