Results 191 to 200 of about 5,120 (267)
Evaluating a radiotherapy deep learning synthetic CT algorithm for PET-MR attenuation correction in the pelvis [PDF]
J. Wyatt +7 more
openalex +1 more source
ABSTRACT Aim The optimal surgical strategy and extent of lymph node (LN) dissection for clinical Stage I (cStage I) adenocarcinoma of the esophagogastric junction (AEG) remain controversial. This study aimed to evaluate surgical outcomes and clarify the prevalence and distribution of LN metastasis according to tumor characteristics in cStage I Siewert ...
Masayoshi Terayama +9 more
wiley +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source
Late Cytomegalovirus Infections After Allogeneic Hematopoietic Cell Transplant
ABSTRACT Graft versus host disease (GVHD) prophylaxis with posttransplant cyclophosphamide (ptCY) and cytomegalovirus (CMV) prophylaxis with letermovir have changed the clinical epidemiology of CMV infection. We studied the incidence, risk factors for, and outcomes of CMV infection after Day + 90 of allogeneic hematopoietic cell transplant (alloHCT ...
George L. Chen +15 more
wiley +1 more source
ABSTRACT Hypomethylating agents (HMA) and allogeneic hematopoietic stem cell transplantation (alloHSCT) have both demonstrated remissions in VEXAS; however, comparative data is lacking. We conducted a multicenter, retrospective analysis of 66 patients diagnosed with VEXAS syndrome treated with HMA (n = 35) or alloHSCT (n = 31). Baseline characteristics
Saubia Fathima +48 more
wiley +1 more source
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng +4 more
wiley +1 more source

