Results 121 to 130 of about 286,821 (329)

A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis [PDF]

open access: yesarXiv
The current clinical diagnosis framework of Alzheimer's disease (AD) involves multiple modalities acquired from multiple diagnosis stages, each with distinct usage and cost. Previous AD diagnosis research has predominantly focused on how to directly fuse multiple modalities for an end-to-end one-stage diagnosis, which practically requires a high cost ...
arxiv  

ADHD diagnosis based on action characteristics recorded in videos using machine learning [PDF]

open access: yes
Demand for ADHD diagnosis and treatment is increasing significantly and the existing services are unable to meet the demand in a timely manner. In this work, we introduce a novel action recognition method for ADHD diagnosis by identifying and analysing raw video recordings. Our main contributions include 1) designing and implementing a test focusing on
arxiv   +1 more source

Long non‐coding RNAs as therapeutic targets in head and neck squamous cell carcinoma and clinical application

open access: yesFEBS Open Bio, EarlyView.
Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran   +3 more
wiley   +1 more source

End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging [PDF]

open access: yesarXiv, 2018
Cardiac magnetic resonance (CMR) is used extensively in the diagnosis and management of cardiovascular disease. Deep learning methods have proven to deliver segmentation results comparable to human experts in CMR imaging, but there have been no convincing results for the problem of end-to-end segmentation and diagnosis from CMR.
arxiv  

Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies

open access: yesFEBS Open Bio, EarlyView.
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa   +13 more
wiley   +1 more source

Machine Learning Methods for Histopathological Image Analysis

open access: yesComputational and Structural Biotechnology Journal, 2018
Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques.
Daisuke Komura, Shumpei Ishikawa
doaj  

Computer-assisted diagnosis for an early identification of lung cancer in chest X rays. [PDF]

open access: yesSci Rep, 2023
Juan J   +14 more
europepmc   +1 more source

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

open access: yesAging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal   +8 more
wiley   +1 more source

Computer-assisted surgery versus manual total knee arthroplasty: A case-controlled study

open access: yesZdravniški Vestnik, 2009
Background: Restoration of neutral alignment of the leg is an important factor affecting the long-term results of total knee arthroplasty. Despite the use of modern instruments in total knee arthroplasty, component malalignment remains a problem ...
Simon Kovač   +2 more
doaj  

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