Results 81 to 90 of about 11,426,298 (383)

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source

Evaluating carbon-electrode dielectrophoresis under the ASSURED criteria

Frontiers in Medical Technology, 2022
Extreme point-of-care refers to medical testing in unfavorable conditions characterized by a lack of primary resources or infrastructure. As witnessed in the recent past, considerable interest in developing devices and technologies exists for extreme ...
Rodrigo Martinez-Duarte, Dario Mager, Jan G. Korvink, Monsur Islam   +3 more
doaj   +1 more source

Cost utility analysis of diagnostic method of syphilis [PDF]

, 2008
Presently, the diagnosis of syphilis is dependent mainly on serological tests. The most widely used screening tests for syphilis are the VDRL and the rapid plasma reagin (RPR) and for confirmation, the fluorescent treponemal antibody (FTA) and the ...
Wiwanitkit, Viroj
core   +1 more source

LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications

Algorithms
This study presents a comprehensive analysis of utilizing TensorFlow Lite on mobile phones for the on-edge medical diagnosis of lung diseases. This paper focuses on the technical deployment of various deep learning architectures to classify nine ...
Raghad Aldamani, Diaa Addeen Abuhani, Tamer Shanableh   +2 more
doaj   +1 more source

3D Dense Separated Convolution Module for Volumetric Medical Image Analysis

Applied Sciences, 2020
With the thriving of deep learning, 3D convolutional neural networks have become a popular choice in volumetric image analysis due to their impressive 3D context mining ability.
Lei Qu, Changfeng Wu, Liang Zou
doaj   +1 more source

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

Molecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker, Samantha Hasenleithner, Rupert Bartsch, Simon P. Gampenrieder, Daniel Egle, Christian F. Singer, Gabriel Rinnerthaler, Michael Hubalek, Katja Schmitz, Zsuzsanna Bago‐Horvath, Andreas Petzer, Sonja Heibl, Ellen Heitzer, Marija Balic, Michael Gnant   +14 more
wiley   +1 more source

Takagi-Sugeno-Kang(zero-order) model for diagnosis hepatitis disease

Journal of Kufa for Mathematics and Computer, 2015
The aim of this paper is to use Takagi-Sugeno-Kang(zero-order) model as fuzzy neural network for the medical diagnosis of hepatitis diseases which represent a major public health problem all around the world .
Raidah S. Salim
doaj   +1 more source

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning [PDF]

, 2018
Glaucoma is a major eye disease, leading to vision loss in the absence of proper medical treatment. Current diagnosis of glaucoma is performed by ophthalmologists who are often analyzing several types of medical images generated by different types of ...
De Neve, Wesley, Janssens, Olivier, Kim, Mijung, Park, Ho-min, Van Hoecke, Sofie, Zuallaert, Jasper   +5 more
core   +1 more source

Approximate inference for medical diagnosis [PDF]

Pattern Recognition Letters, 1999
Abstract Computer-based diagnostic decision support systems (DSSs) will play an increasingly important role in health care. Due to the inherent probabilistic nature of medical diagnosis, a DSS should preferably be based on a probabilistic model.
Wiegerinck, W.A.J.J., Kappen, H.J., Braak, E.W.M.T. ter, Burg, W.J.P.P. ter, Nijman, M.J., O, Y.l., Neijt, J.P.   +6 more
openaire   +4 more sources

2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2020

Diabetes Care, 2019
The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes the ADA’s current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to ...

semanticscholar   +1 more source