Results 151 to 160 of about 119,702 (338)

Evaluation of α-synuclein and apolipoprotein E as potential biomarkers in cerebrospinal fluid to monitor pharmacotherapeutic efficacy in dopamine dictated disease states of Parkinson’s disease and schizophrenia

open access: yesNeuropsychiatric Disease and Treatment, 2019
Ashish Kumar Gupta,1 Ruchika Pokhriyal,1 Uddipan Das,1 Mohd Imran Khan,1 Domada Ratna Kumar,1 Rishab Gupta,2 Rakesh Kumar Chadda,2 Rashmi Ramachandran,3 Vinay Goyal,4 Manjari Tripathi,4 Gururao Hariprasad11Department of Biophysics; 2Department of ...
Gupta AK   +10 more
doaj  

Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation [PDF]

open access: yesarXiv
Parkinson's Disease afflicts millions of individuals globally. Emerging as a promising brain rehabilitation therapy for Parkinson's Disease, Closed-loop Deep Brain Stimulation (CL-DBS) aims to alleviate motor symptoms. The CL-DBS system comprises an implanted battery-powered medical device in the chest that sends stimulation signals to the brains of ...
arxiv  

Prion disease resembling frontotemporal dementia and parkinsonism linked to chromosome 17 [PDF]

open access: gold, 2001
Ricardo Nitríni   +9 more
openalex   +1 more source

Implantable Self‐Powered Systems for Electrical Stimulation Medical Devices

open access: yesAdvanced Science, EarlyView.
In this paper, the design strategy and clinical application of ISS are discussed in depth from four aspects: the design and optimization of the energy collection module, the selection and preparation of adaptive electrode materials, the innovation of system design strategy, and the biological effect of electrical stimulation of ISS.
Xi Cui, Li Wu, Chao Zhang, Zhou Li
wiley   +1 more source

Association of Single-Nucleotide Polymorphisms of the Tau Gene With Late-Onset Parkinson Disease [PDF]

open access: green, 2001
Eden R. Martin   +31 more
openalex   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

open access: yesAdvanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong   +20 more
wiley   +1 more source

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