Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou +4 more
wiley +1 more source
Pharmacodynamic Comparison of Ceftolozane/Tazobactam and Ceftazidime/Avibactam, Administered by Intermittent or Continuous Infusion, Against a Clinical Isolate of Carbapenem-Resistant <i>Pseudomonas aeruginosa</i> Producing GES <i>β</i>-Lactamase in a Hollow Fiber Infection Model. [PDF]
Ahn TK +6 more
europepmc +1 more source
ABSTRACT The antitumor efficacy of an intratumoral injection of a genetically engineered oncolytic vaccinia virus carrying human IL‐7 and murine IL‐12 genes (hIL‐7/mIL‐12‐VV) was demonstrated in CT26.WT‐bearing mice. In the CT26.WT‐bearing mouse model, the efficacy of the combination of hIL‐7/mIL‐12‐VV plus the anti‐programmed cell death protein (PD)‐1
Akihiro Yamada +13 more
wiley +1 more source
Case Report: Vitiligo and Alopecia Universalis Following Rituximab Therapy in a Patient with Myasthenia Gravis. [PDF]
Alzahrani D +4 more
europepmc +1 more source
Strategies for Assessing Post‐Wildfire Geomorphic Resilience in Semiarid Rivers
ABSTRACT We review and summarize diverse components of a catchment that can be monitored after wildfire to assess the geomorphic resilience of the river corridor in semiarid regions. We distinguish upland portions of river catchments from river corridors.
Ellen Wohl +8 more
wiley +1 more source
Can phage-antibiotic combinations overcome uropathogenic Escherichia coli regrowth? evidence from in vitro and in vivo models. [PDF]
Makky S +6 more
europepmc +1 more source
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
Locally advanced rectal cancer: what patients and practitioners should know about non-operative management. [PDF]
Tosi F +11 more
europepmc +1 more source
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law +10 more
wiley +1 more source
Treatment and Prevention of Traumatic Eyebrow Cicatricial Alopecia With Stem Cell Growth Serum. [PDF]
Ong KHX, Lee SJ.
europepmc +1 more source

