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Medmamba: Vision mamba for medical image classification
Since the era of deep learning, convolutional neural networks (CNNs) and vision
transformers (ViTs) have been extensively studied and widely used in medical image …
transformers (ViTs) have been extensively studied and widely used in medical image …
[HTML][HTML] The emerging role of artificial intelligence in neuropathology: Where are we and where do we want to go?
The field of neuropathology, a subspecialty of pathology which studies the diseases
affecting the nervous system, is experiencing significant changes due to advancements in …
affecting the nervous system, is experiencing significant changes due to advancements in …
Precision Cancer Medicine 2.0—Oncology in the postgenomic era
Genomic medicine has transformed the lives of patients with cancer by enabling
individualised and evidence‐based clinical decision‐making. Despite this progress, the …
individualised and evidence‐based clinical decision‐making. Despite this progress, the …
Comparison of DNA methylation based classification models for precision diagnostics of central nervous system tumors
As part of the advancement in therapeutic decision-making for brain tumor patients at St.
Jude Children's Research Hospital (SJCRH), we developed three robust classifiers, a deep …
Jude Children's Research Hospital (SJCRH), we developed three robust classifiers, a deep …
Liquid biopsy in brain tumors: moving on, slowly
Monitoring CNVs and hotspot mutations by liquid biopsy is a promising tool to detect
minimal residual disease and strengthen response assessment in patients with primary …
minimal residual disease and strengthen response assessment in patients with primary …
Artificial intelligence-based biomarkers for treatment decisions in oncology
The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs)
and targeted therapies has increased the complexity of the treatment landscape for solid …
and targeted therapies has increased the complexity of the treatment landscape for solid …
[HTML][HTML] Machine learning methods for histopathological image analysis: Updates in 2024
The combination of artificial intelligence and digital pathology has emerged as a
transformative force in healthcare and biomedical research. As an update to our 2018 …
transformative force in healthcare and biomedical research. As an update to our 2018 …
A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis
X Zhou, L Sun, D He, W Guan, R Wang, L Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Deep learning has enabled the development of highly robust foundation models for various
pathological tasks across diverse diseases and patient cohorts. Among these models, vision …
pathological tasks across diverse diseases and patient cohorts. Among these models, vision …
Methylation profiling in the contemporary management of meningioma
Background The last decade has seen major international research efforts focus on better
understanding disease heterogeneity in meningioma. Multiple molecular platforms have …
understanding disease heterogeneity in meningioma. Multiple molecular platforms have …
High-Grade Astrocytoma With Piloid Features: Case Series and Review of a Recently Described Brain Tumor Entity
MA Rudolf, SP Ferris - Archives of Pathology & Laboratory …, 2025 - meridian.allenpress.com
Context.—High-grade astrocytoma with piloid features (HGAP) is a newly recognized glioma
defined by its methylation profile. Understanding of its clinical, histologic, and molecular …
defined by its methylation profile. Understanding of its clinical, histologic, and molecular …