Results 311 to 320 of about 435,882 (385)

Diagnostic Spectrum in an "Atypical" Atypical Parkinsonism Syndrome Cohort: A Single Center Experience. [PDF]

J Mov Disord
Katragadda P, Holla VV, Kamble N, Mahale RR, Yadav R, Pal PK.   +5 more
europepmc   +1 more source

Optimized DeepLabV3+ for Clinical Data Analysis through Advanced Particle Swarm Optimization‐Based Channel Selection

Advanced Intelligent Systems, EarlyView.
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad, Behrouz Homam, Ariel Feygin, Mahan Najafpour Ghazvini Fardshad, Shahak Rozenblat, Abed Matinpour, Arman Laly, Fatemeh Esmaeildoost, Razieh Salahandish   +8 more
wiley   +1 more source

C18:0 GM3 ganglioside's efficacy in LPS-induced parkinsonism: neuroprotection, inflammatory inhibition and gliosis mitigation. [PDF]

Behav Brain Funct
Liu TT, Liu CT, Li IH, Chu YC, Hung HY, Chiu CH, Chou TK, Li SY, Wang TA, Shih JH.   +9 more
europepmc   +1 more source

Bioinspired Engineering beyond Homeostasis

Advanced Intelligent Systems, EarlyView.
This perspective article introduces systems biology as the unifying theoretical framework behind bioinspired engineering. As an example, it explores how disruptions in multiscale biological systems, associated with pathological states, can be viewed as localized failure modes of biological cooperation showing emergent advantages that can inspire ...
Rosalia Moreddu
wiley   +1 more source

AP2M1 Is a Candidate Gene for Microcephaly and Intellectual Disability in 3q27.1 Deletions

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Deletions of the 3q26.33q27.2 region appear to correlate with a distinct phenotype, although there are few reported cases. Here, we present seven previously unreported individuals carrying de novo 3q27 deletions (under 5 Mb), which include the AP2M1 (adaptor‐related protein complex 2, mu‐1 subunit) gene and summarize data from 12 previously ...
Russell Gear, Paul Kalitsis, Melissa Glass, Bertrand Isidor, Catherine Vincent‐Delorme, Florence Petit, Judith M. A. Verhagen, Alexander Jorge, Ana Cristina Victorino Krepischi, Ikeoluwa Osei‐Owusu, Eva Martinez, Anne O'Donnell‐Luria, Nicole de Leeuw, Sarah Ruggiero, Ingo Helbig, Francis David I, Natasha J. Brown   +16 more
wiley   +1 more source

The Role of SLC39A8.p.(Ala391Thr) in Schizophrenia Symptom Severity and Cognitive Ability: Cross‐Sectional Studies of Schizophrenia and the General UK Population

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT The missense SNP NC_000004.12:g.102267552C>T (also known as SLC39A8.p.(Ala391Thr), rs13107325) in SLC39A8 encodes a zinc transporter. This SNP has been linked to schizophrenia and is the likely causal variant for one of the genome‐wide association loci associated with the disorder. Using regression analyses, we tested whether the schizophrenia‐
Sophie E. Smart, Sophie E. Legge, Eilidh Fenner, Antonio F. Pardiñas, Grace Woolway, Amy J. Lynham, Valentina Escott‐Price, Jeremy Hall, Lawrence Wilkinson, Peter Holmans, Michael C. O'Donovan, Michael J. Owen, James T.R. Walters   +12 more
wiley   +1 more source

Homelessness Service Usage Patterns of 30,000 Homeless and At‐Risk Households: The Melbourne Access Point Study

Australian Journal of Social Issues, EarlyView.
ABSTRACT Over the last three decades, overseas researchers have utilised administrative data to identify distinct patterns in shelter use. In Australia, the use of administrative data to understand service utilisation patterns among people ‘at risk’ of homelessness and experiencing homelessness is limited.
Godwin Kavaarpuo, Kathryn Daley, Guy Johnson   +2 more
wiley   +1 more source

Enhancing 3D dopamine transporter imaging as a biomarker for Parkinson's disease via self-supervised learning with diffusion models. [PDF]

Cell Rep Med
Won J, Lee GY, Jo S, Lee J, Lee S, Kim JS, Sung C, Oh JS, Kwon KY, Park SB, Lee J, Yum J, Chung SJ, Kim N.   +13 more
europepmc   +1 more source