Results 71 to 80 of about 330,950 (237)
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Medical ultrasonic arrays are typically characterized in controlled water baths using measurements by a hydrophone, which can be translated with a positioning stage.
Torben Marhenke +5 more
doaj +1 more source
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source
Speech Recognition for the Sterile Interaction with Information Systems in the Surgical Area
This paper describes how automatic speech recognition (ASR) can be used to explore electronic patient records (EPR) in a sterile environment. As an information display, we used a system that was developed for the presentation of patient data and for ...
Schrüfer Katrin V. +3 more
doaj +1 more source
Complex Care Management Program Overview - Technology [PDF]
This report provides an overview of technology based complex care management programs, including:Cook County Health and Hospitals System - Computer Assisted Quality of Life and Symptom Assessment of Complex PatientsUniversity of Missouri ...
core
Stability and sensitivity of Learning Analytics based prediction models [PDF]
Learning analytics seek to enhance the learning processes through systematic measurements of learning related data and to provide informative feedback to learners and educators.
Giesbers, B. +2 more
core +1 more source
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
BiofilmQuant: A Computer-Assisted Tool for Dental Biofilm Quantification
Dental biofilm is the deposition of microbial material over a tooth substratum. Several methods have recently been reported in the literature for biofilm quantification; however, at best they provide a barely automated solution requiring significant ...
Mansoor, Awais +4 more
core +1 more source
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song +11 more
wiley +1 more source
Uncertainty estimation methods are expected to improve the understanding and quality of computer-assisted methods used in medical applications (e.g., neurosurgical interventions, radiotherapy planning), where automated medical image segmentation is ...
Blatti-Moreno, Marcela +6 more
core +1 more source

