Results 81 to 90 of about 8,221,919 (357)

What We Do and Do Not Know about Teaching Medical Image Interpretation

open access: yesFrontiers in Psychology, 2017
Educators in medical image interpretation have difficulty finding scientific evidence as to how they should design their instruction. We review and comment on 81 papers that investigated instructional design in medical image interpretation.
Ellen M. Kok   +3 more
semanticscholar   +1 more source

β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1

open access: yesMolecular Oncology, EarlyView.
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero   +8 more
wiley   +1 more source

MR signal intensity: staying on the bright side in MR image interpretation

open access: yesRMD Open, 2018
In 2003, the Nobel Prize for Medicine was awarded for contribution to the invention of MRI, reflecting the incredible value of MRI for medicine. Since 2003, enormous technical advancements have been made in acquiring MR images.
J. Bloem   +3 more
semanticscholar   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham   +21 more
wiley   +1 more source

Evaluating the effectiveness of intensive versus non‐intensive image interpretation education for radiographers: a randomised controlled trial

open access: yesJournal of Medical Radiation Sciences, 2018
The purpose of this randomised controlled trial was to compare the effectiveness of intensive and non‐intensive formats of delivery of image interpretation education for radiographers.
M. Neep   +3 more
semanticscholar   +1 more source

Classifying pictorial interpretation theories

open access: yesPrometeica
Analytic philosophy traditionally uses two classification criteria to distinguish theories of pictorial interpretation: mimetic or illusionistic, and natural or non-natural.
Juan Pablo Aguilar Martínez
doaj   +1 more source

GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation

open access: hybrid, 2022
Takaki Yamada   +4 more
openalex   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

open access: yesMolecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts   +8 more
wiley   +1 more source

Image interpretation above and below the object level

open access: yesInterface Focus, 2018
Computational models of vision have advanced in recent years at a rapid rate, rivalling in some areas human-level performance. Much of the progress to date has focused on analysing the visual scene at the object level—the recognition and localization of ...
Guy Ben-Yosef, S. Ullman
semanticscholar   +1 more source

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