Results 131 to 140 of about 23,701 (280)
Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery
Illustration summarizes how human intestinal organoids (HIOs) are becoming transformative in preclinical research. Preclinical drug discovery pipelines often rely on animal models for ADMET studies, even though interspecies ADME gaps, poor external validity, and high attrition rates are common.
Debarun Patra +6 more
wiley +1 more source
This study evaluated the impact of distal resection margin (DRM) length on recurrence in 208 patients undergoing surgery for rectal neuroendocrine tumors (NETs). Our findings demonstrate that while oncological safety must unquestionably remain the top priority, a short pathological DRM (< 10 mm) does not increase recurrence risk when R0 resection is ...
Kentaro Sato +8 more
wiley +1 more source
This study demonstrated that a bioabsorbable polymer sheet (BAPS) can regenerate approximately half the circumference of the colon with native‐like structure and function in an experimental setting. As the model involved immediate closure after perforation and did not reproduce peritonitis, caution is required when considering clinical applicability ...
Junpei Takashima +4 more
wiley +1 more source
NAT‐GS was significantly more effective only in patients with one tumor marker above the reference range, comparing those who achieved 12‐month MRFS with those who did not. ABSTRACT Aim Pancreatic cancer (PC) remains one of the most lethal malignancies, with early recurrence severely affecting prognosis even after curative resection.
Hiromichi Kawaida +9 more
wiley +1 more source
ABSTRACT Ensuring an adequate surgical proximal margin (SPM) is crucial in radical gastrectomy for gastric cancer. However, the lack of tactile feedback in laparoscopic distal gastrectomy (LDG) and robotic distal gastrectomy (RDG) poses challenges in precisely determining tumor boundaries, particularly in advanced gastric cancer, where tumor ...
Rie Makuuchi +9 more
wiley +1 more source
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo +4 more
wiley +1 more source
This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya +8 more
wiley +1 more source
ABSTRACT Background Self‐expandable metal stents (SEMS) are often used for preoperative biliary drainage in pancreatoduodenectomy (PD); however, their impact on postoperative intra‐abdominal infection (POAI) remains unclear. This study aimed to evaluate the clinical significance of SEMS in relation to POAI.
Kosuke Mori +9 more
wiley +1 more source
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
This single‐center retrospective study evaluated perioperative outcomes after hepatectomy in 749 patients, including 140 receiving ATT, using propensity score matching to compare ATT and non‐ATT cohorts. Under standardized perioperative management, ATT did not increase major bleeding, transfusion, or severe morbidity overall; however, within the ATT ...
Haruki Mori +9 more
wiley +1 more source

