Results 91 to 100 of about 56,442 (225)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Dental implants: A remote option in case of somatic delusion disorder

open access: yesJournal of Pharmacy and Bioallied Sciences, 2017
A 29-year-old female was referred by a psychiatrist for dental implantation and prosthodontic rehabilitation, as she had all her healthy permanent teeth extracted within a span of 2–6 months, due to somatic delusional disorder.
Thanvir Mohamed Niazi   +6 more
doaj   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Hallucinations and delusions are associated with elevated tau PET signal independent of age, clinical severity, and amyloid burden

open access: yesAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
INTRODUCTION Psychosis in Alzheimer's disease (AD) is associated with worse outcomes, yet no established biomarkers exist for early diagnosis and intervention.
Aubrey S Johnson   +16 more
doaj   +1 more source

Hopping, skipping or jumping to conclusions? Clarifying the role of the JTC bias in delusions

open access: yes, 2007
Introduction: There is substantial evidence that patients with delusions exhibit a reasoning bias - known as the "jumping to conclusions" (JTC) bias - which leads them to accept hypotheses as correct on the basis of less evidence than controls.
Fine, C.   +3 more
core   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Psychotropic-associated delusional pseudo-gender dysphoria: a case report

open access: yesBMC Psychiatry
Background Gender dysphoric delusions are reported in about 20–25% of patients with schizophrenia. There have been no previous cases of psychotropics contributing to the occurrence of gender dysphoric delusions or cases where two different types of ...
Karim Abdel Aziz   +7 more
doaj   +1 more source

Delusions

open access: yes, 2017
Delusions, in their many different manifestations, are central to the concepts of madness and psychosis. Yet what causes them remains in many ways a complete mystery.
Peter McKenna
core   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

open access: yesAdvanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy