Results 141 to 150 of about 8,531 (253)
Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan +4 more
wiley +1 more source
Non-invasive, time and cost-effective, easy-to-measure techniques for the early diagnosis or monitoring the progression of brain and mental disorders are at the forefront of recent research in this field.
Kokkinakis, Dimitrios, +1 more
core
Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare +3 more
wiley +1 more source
Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher +4 more
wiley +1 more source
Evidence of APOE4‐related brain vulnerabilities in verbal memory systems in midlife women
Abstract INTRODUCTION Women carrying the apolipoprotein E4 (APOE4) allele have a greater risk of Alzheimer's disease (AD) from ages 65‐75 years compared to men, yet the effects of APOE4 on cognitive and neuroimaging outcomes among midlife women remain poorly understood.
Katrina A. Wugalter +6 more
wiley +1 more source
Generative Artificial Intelligence and Large Language Models in Clinical Oncology
By integrating multimodal data, including medical imaging, pathology, omics, and electronic health records, generative AI and LLMs support cancer diagnosis, treatment planning, and follow‐up management. These technologies also enhance physician–patient communication, improve personalized treatment strategies, and leverage intelligent agent automation ...
Yunfang Yu +14 more
wiley +1 more source
Childhood Speech Impairment and Dementia Risks Among U.S. Older Adults
ABSTRACT Background Speech problems in childhood have profound implications for learning, communication, as well as the development of social and cognitive skills in adulthood. However, research has yet examined how early life speech problems may be associated with subsequent dementia risks in later life.
Haowei Wang, Shu Xu, Yalian Pei
wiley +1 more source
Periodontitis and Periodontal Conditions in Systemically Healthy Children and Adolescents
ABSTRACT Objective To answer the PICoS question ‘in systemically healthy children and adolescents (Population), what are the main features of periodontitis, necrotising periodontal diseases (NPD) and other periodontal conditions (periodontal abscesses, endo‐periodontal lesions, traumatic occlusal forces, prosthesis‐ and tooth‐related factors ...
Inbar Eshkol‐Yogev +5 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Emerging directions in tauopathy research
Abstract The Tau Global Conference 2025, hosted by the Alzheimer's Association, CurePSP, and the Rainwater Charitable Foundation, convened international experts from academia, industry, government, and philanthropy to explore advances and challenges in tauopathy research. The meeting highlighted progress across tau biology, including emerging models of
Luc Buée +41 more
wiley +1 more source

