Results 61 to 70 of about 43,201,948 (340)

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients

open access: yesnpj Digital Medicine, 2020
Cellular subpopulations within the colorectal tumor microenvironment (TME) include CD3+ and CD8+ lymphocytes, CD68+ and CD163+ macrophages, and tumor buds (TBs), all of which have known prognostic significance in stage II colorectal cancer.
Ines P. Nearchou   +8 more
doaj   +1 more source

Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Pathology (ESDIP)

open access: yesDiagnostics, 2021
The interest in implementing digital pathology (DP) workflows to obtain whole slide image (WSI) files for diagnostic purposes has increased in the last few years.
Filippo Fraggetta   +11 more
doaj   +1 more source

Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review

open access: yesDiagnostic Pathology
Background The integration of large language models (LLMs) like ChatGPT in diagnostic medicine, with a focus on digital pathology, has garnered significant attention.
E. Ullah   +3 more
semanticscholar   +1 more source

Digital Pathology: Transforming Diagnosis in the Digital Age

open access: yesCureus, 2023
In the context of rapid technological advancements, the narrative review titled "Digital Pathology: Transforming Diagnosis in the Digital Age" explores the significant impact of digital pathology in reshaping diagnostic approaches.
Nfn Kiran   +11 more
semanticscholar   +1 more source

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

open access: yesMolecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David   +12 more
wiley   +1 more source

On the edge of a digital pathology transformation: Views from a cellular pathology laboratory focus group

open access: yesJournal of Pathology Informatics, 2019
Introduction: Digital pathology has the potential to revolutionize the way clinical diagnoses are made while improving safety and quality. With a few notable exceptions in the UK, few National Health Service (NHS) departments have deployed digital ...
Casmir Turnquist   +7 more
doaj   +1 more source

Challenges in implementing a digital pathology workflow in surgical pathology

open access: yesHuman Pathology Reports, 2022
The rate of digital pathology adoption had been slow until the COVID-19 pandemic served as catalyst, demonstrating the possibilities of saving time and money by converting glass slides into whole slide images (WSI) and thus making them available to all ...
Giovani Lujan, Zaibo Li, Anil V. Parwani
doaj   +1 more source

Digital Pathology and Artificial Intelligence Applications in Pathology

open access: yesBrain Tumor Research and Treatment, 2022
Digital pathology is revolutionizing pathology. The introduction of digital pathology made it possible to comprehensively change the pathology diagnosis workflow, apply and develop pathological artificial intelligence (AI) models, generate pathological big data, and perform telepathology. AI algorithms, including machine learning and deep learning, are
openaire   +2 more sources

Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling

open access: yesMolecular Oncology, EarlyView.
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan   +8 more
wiley   +1 more source

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