The evolving landscape of anatomic pathology
… adaptation to new clinical challenges, placing pathologists at … biopsies by the major lung
cancer associations. For example… of technological revolution, the field of anatomic pathology is …
cancer associations. For example… of technological revolution, the field of anatomic pathology is …
How will lung cancer screening and lung nodule management change the diagnostic and surgical lung cancer landscape?
G Hardavella, A Frille, R Chalela… - European …, 2024 - Eur Respiratory Soc
… access to fast-track lung cancer clinical services needs to be … may represent a challenge to
lung cancer screening provision … there is slow or no growth of cancer pathology and/or high …
lung cancer screening provision … there is slow or no growth of cancer pathology and/or high …
[HTML][HTML] Digital pathology and PD-L1 testing in non small cell lung cancer: a workshop record
… , this paper focused on the challenges in PD-L1 staining … We are approaching the third
revolution in pathology with the … use of digital pathology and AI tool to support pathologists in the …
revolution in pathology with the … use of digital pathology and AI tool to support pathologists in the …
Updates in pathology and molecular diagnostics to inform the evolving landscape of thoracic surgery and oncology
… lung cancers, driven in part by the revolution in genomic characterization that defines the last
decade of medicine, today's pathology … challenging clinical scenarios, for example, tumor of …
decade of medicine, today's pathology … challenging clinical scenarios, for example, tumor of …
Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine
B Lai, J Fu, Q Zhang, N Deng… - … Journal of Oncology, 2023 - spandidos-publications.com
… was made on modern civilization, namely on Industrial Revolution 4.0 (1). Deep learning (DL…
histology images from patients with lung adenocarcinoma (LUAD) for prognostication. As a …
histology images from patients with lung adenocarcinoma (LUAD) for prognostication. As a …
[HTML][HTML] Lung cancer histology-driven strategic therapeutic approaches
G Galli, G Rossi - Shanghai Chest, 2020 - shc.amegroups.org
… Thus, in this review we challenge the future role of histotype … DNA (ctDNA), circulating
tumor cells or exosomes is a revolutionary … in the new College of American Pathologists (CAP)/…
tumor cells or exosomes is a revolutionary … in the new College of American Pathologists (CAP)/…
[HTML][HTML] EGFR Status Assessment for Better Care of Early Stage Non-Small Cell Lung Carcinoma: What Is Changing in the Daily Practice of Pathologists?
P Hofman - Cells, 2021 - mdpi.com
… However, many challenges are associated with this therapeutic revolution, not only for
oncologists but also for pathologists. Thus, with the aim of providing optimal care for patients, …
oncologists but also for pathologists. Thus, with the aim of providing optimal care for patients, …
Lung Cancer Diagnosis: Where we are and where we will Go? Classical and Innovative Applications in the Diagnosis of Lung Cancer
RS Moreira, CF de Melo Vasconcelos… - … of Lung Cancer and …, 2022 - books.google.com
… However, the big challenge remains early diagnosis, since … been a revolutionary point in
terms of surgical action targeting … genes involved in lung cancer pathology such as EGFR, MET, …
terms of surgical action targeting … genes involved in lung cancer pathology such as EGFR, MET, …
Artificial intelligence as the next step towards precision pathology
… in several diseases, including lung cancer, melanoma and … , and pathology is right at the
focus of this revolution. Examples of … most recent developments and challenges in digital image …
focus of this revolution. Examples of … most recent developments and challenges in digital image …
The digital revolution in pathology: Towards a smarter approach to research and treatment
… By providing a perspective on the opportunities and challenges, this review aims to
inform and guide researchers, clinicians, and policymakers in the adoption of AI in oncology. …
inform and guide researchers, clinicians, and policymakers in the adoption of AI in oncology. …