Results 221 to 230 of about 102,148 (313)
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley +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
Mathematical modeling of tumor-immune dynamics: stability, control, and synchronization via fractional calculus and numerical optimization. [PDF]
Aderyani SR +3 more
europepmc +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
Child horse harmony in motion: a preliminary study to explore heart rate synchronization in equine assisted therapy for neurotypical and ADHD children. [PDF]
Helmer A, Hacohen A, Bart O.
europepmc +1 more source
This systematic review and meta‐analysis evaluated the role of primary tumor resection (PTR) in asymptomatic patients with unresectable metastatic colorectal cancer. Across 17 eligible studies including 9317 patients, PTR did not improve overall or progression‐free survival compared with chemotherapy alone.
Junpei Takashima +3 more
wiley +1 more source
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
Recognition method for microgrid switching misoperations based on multi-source heterogeneous data fusion. [PDF]
Yang H, Zhang Z, Zhang S, Liang R.
europepmc +1 more source
Strong generalized synchronization with a particular relationshipRbetween the coupled systems
Clara Grácio +2 more
openalex +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source

