Results 201 to 210 of about 11,761 (306)

Progenitor Cell Dynamics in Androgenetic Alopecia: Insights from Spatially Resolved Transcriptomics. [PDF]

Int J Mol Sci
Charoensuksira S, Surinlert P, Krajarng A, Nualsanit T, Payuhakrit W, Panpinyaporn P, Khumsri W, Thanasarnaksorn W, Suwanchinda A, Hongeng S, Ponnikorn S.   +10 more
europepmc   +1 more source

Novel planning pipeline utilizing the Surgical Theater system for pediatric epilepsy surgery

Epilepsia Open, EarlyView.
Abstract Objective Advances in the analysis and collation of radiographic datasets have enhanced presurgical planning for various neurosurgical procedures, including clipping of cerebral aneurysms, surgical resection of tumors, and arteriovenous malformation management.
Lisa B. E. Shields, Hunain Abri, Cemal Karakas, Shannon D. Davis, Ian S. Mutchnick   +4 more
wiley   +1 more source

Picking a Side: Preferential Laterality in Scalp Hair Density. [PDF]

Skin Appendage Disord
Duong AN, Kincaid C, Phong C, Babadjouni A, Mesinkovska NA.   +4 more
europepmc   +1 more source

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

Epilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Skin cancer screening practices of UK hairdressers and barbers for their customers: a preliminary study. [PDF]

Skin Health Dis
Fleming H, Wells C, Williams A, Stores R.   +3 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Integrated Meta-Analysis of Scalp Transcriptomics and Serum Proteomics Defines Alopecia Areata Subtypes and Core Disease Pathways. [PDF]

Int J Mol Sci
Xi L, Peeva E, Yamaguchi Y, Ye Z, Hyde CL, Guttman-Yassky E.   +5 more
europepmc   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Spontaneous subgaleal haematoma with severe headache in two children during acute painful sickle cell crisis. [PDF]

Niger Med J
Akor F, Thenat T, Hussain S, Kumar S.
europepmc   +1 more source

Detection of interictal epileptiform discharges using multiple bilateral insertions of a newly developed microcatheter‐compatible endovascular electroencephalogram electrode: A clinical feasibility trial

Epilepsia Open, EarlyView.
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki, Yosuke Masuda, Ayataka Fujimoto, Mitsuyo Nishimura, Hisayuki Hosoo, Hiroki Ishida, Takashi Enokizono, Kensuke Kawai, Eiichi Ishikawa, Yuji Matsumaru   +9 more
wiley   +1 more source