Results 211 to 220 of about 4,747,481 (339)

Laparoscopic and Endoscopic Cooperative Surgery for Gastric Cancer as an Alternative Treatment in Elderly Patients: A Prospective Observational Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In a prospective study of 20 elderly gastric cancer patients who declined gastrectomy, laparoscopic and endoscopic cooperative surgery (LECS) was technically safe and preserved postoperative function. However, as oncological curability cannot be assured in advanced cases, careful selection and informed consent are essential.
Marie Washio   +9 more
wiley   +1 more source

Total Neoadjuvant Therapy for Rectal Cancer: Why Japan Says “Not Yet”

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Total neoadjuvant therapy (TNT) has rapidly gained global acceptance as a standard treatment for locally advanced rectal cancer (LARC). Supported by multiple phase III trials, TNT improves pathological complete response (pCR) rates, enhances systemic control, and expands opportunities for non‐operative management (NOM).
Kay Uehara   +4 more
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma   +3 more
wiley   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk   +4 more
wiley   +1 more source

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