Results 211 to 220 of about 132,160 (305)

AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons. [PDF]

open access: yesSci Data
Murugesan GK   +10 more
europepmc   +1 more source

Unraveling genotype–phenotype associations and predictive modeling of outcome in acute myeloid leukemia

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Acute myeloid leukemia (AML) comprises 32% of adult leukemia cases, with a 5‐year survival rate of only 20–30%. Here, the immunophenotypic landscape of this heterogeneous malignancy is explored in a single‐center cohort using a novel quantitative computational pipeline.
Artuur Couckuyt   +10 more
wiley   +1 more source

Fate of wastewater nitrogen upon injection into a coastal saline groundwater system, Florida Keys, USA

open access: yesThe Depositional Record, EarlyView.
Despite advanced wastewater treatment, dilution by rainwater and mixing, and microbial modification, nitrogen nutrients derived from shallowly injected wastewater are detected in nearshore waters in the Florida Keys. Abstract Injection of treated wastewater into the shallow subsurface on islands and along coastlines is a common practice in areas like ...
Miquela Ingalls   +3 more
wiley   +1 more source

How machine learning on real world clinical data improves adverse event recording for endoscopy. [PDF]

open access: yesNPJ Digit Med
Wittlinger S   +6 more
europepmc   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

open access: yesDeep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi   +4 more
wiley   +1 more source

Integrating Artificial Intelligence and Smartphone Technology to Enhance Personalized Assessment and Treatment for Eating Disorders

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Smartphone technology presents a promising path toward expanding access to evidence‐based eating disorder assessment and treatment. Despite rapid technological advances, research has yet to harness these systems in ways that make personalized digital health care a clinical reality.
Jake Linardon, John Torous
wiley   +1 more source

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