Results 181 to 190 of about 1,329,889 (388)
Molecular Oncology, EarlyView.The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld +7 more
wiley +1 more source
Molecular Oncology, EarlyView.Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam +2 more
wiley +1 more source
The old humanities and the new science / by Sir William Osler ; with introd. by Harvey Cushing
, 1920 William Osler
openalex +2 more sources
COLLEGE ACHIEVEMENT IN SOCIAL SCIENCE, HUMANITIES AND NATURAL SCIENCE: AN EXPLORATORY STUDY [PDF]
, 1967 John A. Centra, Mary Ellen Parry
openalex +1 more source
Expressions, Summer 2016 Mailer [PDF]
, 2016 College of Humanities and the Arts Newsletter, Summer 2016 Mailer (Volume ...
San Jose State University, College of the Humanities and the Arts
core +1 more source
Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance
Molecular Oncology, EarlyView.In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang +8 more
wiley +1 more source
Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models [PDF]
arXivGenerating lifelike 3D humans from a single RGB image remains a challenging task in computer vision, as it requires accurate modeling of geometry, high-quality texture, and plausible unseen parts. Existing methods typically use multi-view diffusion models for 3D generation, but they often face inconsistent view issues, which hinder high-quality 3D ...
arxiv