Results 151 to 160 of about 10,865,771 (329)
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song +11 more
wiley +1 more source
Download the complete supplement in one PDF
International Journal of Medical Students
doaj +6 more sources
ADHD Awareness Among Medical Students [PDF]
Background: Early recognition of attention deficit hyperactivity disorder (ADHD) is needed to prevent its psychosocial and educational consequences. We aimed to study ADHD awareness among medical students and identify correlating and contributing factors
Alsulami, A. O. (Abdulaziz) +3 more
core
Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias +12 more
wiley +1 more source
Pipeline programs are designed to prepare and inspire students to pursue careers in medicine and medical research. SKMC is committed to providing experiences and education to middle school, high school, college, and graduate students from groups ...
core +1 more source
Perceived Stress Levels of Medical Students and Methods of Coping with Stress at Online Exam
Türkkan Öztürk Kaygusuz
openalex +1 more source
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner +6 more
wiley +1 more source
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source

