Results 191 to 200 of about 698,939 (333)
ABSTRACT Over the past three decades, we have mentored a generation of young Japanese surgeons, guiding them to become internationally recognized surgeon‐scientists. Through a unique collaboration between Japanese academic institutions and our laboratories at AntiCancer Inc.
Robert M. Hoffman +2 more
wiley +1 more source
Small Vessel Vasculitis Mimicking Inflammatory Bowel Disease. [PDF]
Puranam K +6 more
europepmc +1 more source
Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis [PDF]
Weiqin Zhao +5 more
openalex +1 more source
ABSTRACT Aim Spigelman stage IV duodenal polyposis (SP‐stage IV DP) is associated with high duodenal cancer risk in patients with familial adenomatous polyposis (FAP). This study evaluated the surgical and oncological outcomes of pancreas‐sparing total duodenectomy (PSTD) as a surgical prophylaxis for severe duodenal polyposis in FAP.
Takehiro Shiraishi +8 more
wiley +1 more source
WCN25-3225 APOLIPOPROTIEN E IN C3 GLOMERULOPATHAY-A VALIDATION
Ritambhra Nada DUSEJA +2 more
doaj +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Self-supervised learning for data augmentation in histopathology image segmentation. [PDF]
Almubarak HA.
europepmc +1 more source
Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar +3 more
wiley +1 more source

