Results 61 to 70 of about 55,495 (230)

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Computational universes

, 2005
Suspicions that the world might be some sort of a machine or algorithm existing ``in the mind'' of some symbolic number cruncher have lingered from antiquity. Although popular at times, the most radical forms of this idea never reached mainstream. Modern
Alexandrov, Alexandrov, Alexandrov, Bell, Benacerraf, Bennett, Benz, Bernstein, Bernstein, Borchers, Boskovich, Boyer, Brady, Brauer, Bridgman, Brukner, Calude, Calude, Casti, Casti, Casti, Casti, Chaitin, Chaitin, Chaitin, Chaitin, Conway, Drobot, Dyson, Earman, Eccles, Einstein, Einstein, Elnaschie, Elnaschie, Finkelstein, Fortnow, Fredkin, Fredkin, Fussy, Glauber, Gray, Greenberger, Grünbaum, Gödel, Gödel, Gödel, Herbert, Herzog, Hogarth, Jennewein, Kanter, Karl Svozil, Kochen, Komar, Leff, Lester, Macdonald, Mermin, Meyer, Miller, Moore, Moore, Navara, Peres, Pitowsky, Pitowsky, Pitowsky, Planck, Popper, Putnam, Rado, Redhead, Rössler, Rössler, Rössler, Schaller, Shimony, Specker, Specker, Svozil, Svozil, Svozil, Svozil, Svozil, Svozil, Svozil, Svozil, Svozil, Svozil, Svozil, Svozil, Thomas, Thomson, Toffoli, Toffoli, Ulam, von Neumann, Weyl, Wigner, Wolfram, Wooters, Wright, Wright, Zeilinger, Zeilinger, Zuse, ‘t Hooft   +107 more
core   +5 more sources

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models

The R Journal, 2016
Finite mixture models are being used increasingly to model a wide variety of random phenomena for clustering, classification and density estimation. mclust is a powerful and popular package which allows modelling of data as a Gaussian finite mixture with
Luca Scrucca, Michael Fop, T. B. Murphy, A. Raftery   +3 more
semanticscholar   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani, Lakshmi Pillai, Reid D. Landes, Aliyah Glover, Shannon Doerhoff, Jennifer Kleiner, Mitesh Lotia, Rohit Dhall, Edgar Garcia‐Rill   +8 more
wiley   +1 more source

The Algorithm of Chaos: WL and Random Dimensions

This paper explores the theoretical construct of "WL," a hypothetical world governed entirely by randomness, devoid of compliance with established laws. In WL, randomness is not entirely without structure, and its governing principles introduce profound implications for dimensions, time, life, and permanence.
openaire   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations [PDF]

IEEE Transactions on Visualization and Computer Graphics
The semantic similarity between documents of a text corpus can be visualized using map-like metaphors based on two-dimensional scatterplot layouts. These layouts result from a dimensionality reduction on the document-term matrix or a representation ...
D. Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, M. Behrisch, T. Schreck   +5 more
semanticscholar   +1 more source