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Text and Audio Classification Enabled Diagnosis for Treatment Applications by Natural Language Processing (NLP) and Deep Learning (DL)

Text and Audio Classification Enabled Diagnosis for Treatment Applications by Natural Language Processing (NLP) and Deep Learning ...
Mahdi, Hameem
core

Bayesian Optimization–Reinforcement Learning Hybrid Framework for a‐IGZO Thin‐Film Transistor Compact Model Parameter Extraction in 2T0C Dynamic Random Access Memory Applications

Advanced Intelligent Systems, EarlyView.
A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian optimization performs exploration and provides an optimized starting point.
Seunghyun Son +4 more
wiley +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source

PRISM, a Bidirectional NMR Foundation Model: From Peak List to Structure and Back

Angewandte Chemie, EarlyView.
Structure elucidation from NMR can consume an expert for hours or even days. PRISM addresses this with a bidirectional transformer trained on 1.19 M real experimental spectra: it translates 1H and 13C peak lists into structures with 60.1% stereo‐aware top‐1 accuracy (72.5% stereo‐unaware), and, working in reverse, predicts spectra back from structures,
Ajnabiul Hoque, Frank Glorius
wiley +2 more sources

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

Advanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu +11 more
wiley +1 more source

AI‐Based Mitochondrial Network Characterization as a Biomarker for DNM1L‐Related Disease Diagnosis

Advanced Intelligent Systems, EarlyView.
This work provides proof‐of‐concept that AI‐based analysis of mitochondrial network morphology in patient‐derived fibroblasts can identify a phenotypic signature associated with DNM1L deficiency. This automated approach may ultimately provide a complementary functional readout for the interpretation of novel DNM1L variants following genetic testing ...
Uliana Musokhranova +9 more
wiley +1 more source

Inverse Design of Electromagnetic‐Induced Transparency Metasurface Using Conditional Generative Adversarial Network

Advanced Intelligent Systems, EarlyView.
This work develops a CGAN‐based metasurface inverse design method. It adopts an integrated workflow of pixel‐based graphical modeling, simulation, and GAF transform for automatic, batch metasurface dataset construction. With a U‐Net architecture, the CGAN generates high‐resolution, high‐fidelity metasurface structures. EIT verification achieves over 90%
Guirong Feng +6 more
wiley +1 more source

Understanding the Pattern of Cognitive Decline in GBA1‐Related Parkinson's Disease: An Exploratory Longitudinal Multi‐Cohort Study

Annals of Neurology, EarlyView.
Objective People with Parkinson's disease (PD) who carry a pathogenic GBA1 variant (PDGBA1) are at higher risk of cognitive impairment than those without the variant (PDGBA1_wildtype). To date, little is known about the pattern and evolution of cognitive decline in PDGBA1. This multicenter study characterized the cognitive profile of PDGBA, focusing on
Merle Bode +345 more
wiley +1 more source

Memory and Plasma pTau217 Refine Prognosis in Down Syndrome

Annals of Neurology, EarlyView.
Individuals with Down syndrome (DS) are at high risk for Alzheimer's disease (AD), yet accessible tools for routine clinical screening of AD in individuals with DS remain limited. Using data from the Alzheimer Biomarker Consortium‐Down Syndrome (ABC‐DS), we show that integrating plasma pTau217 with performance on the modified cued recall task ...
Casey R. Vanderlip +62 more
wiley +1 more source

Deep learning-based echocardiography for cardiac assessment: a systematic literature review and meta-analysis. [PDF]

Eur Heart J Digit Health
Romano-Martinez A +9 more
europepmc +1 more source

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