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Showing 1135-1155 of 8,155 articles

Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.

BACKGROUND: Microsatellite instability (MSI) predetermines responses to adjuvant 5-fluorouracil and ...

(2)

May 2021 33963688

Analysis of Tumor Microenvironment Characteristics in Bladder Cancer: Implications for Immune Checkpoint Inhibitor Therapy.

The tumor microenvironment (TME) plays a crucial role in cancer progression and recent evidence has ...

Apr 2021 33936117

Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning.

Genomic sequence variation within enhancers and promoters can have a significant impact on the cellu...

Apr 2021 33832990

Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.

BACKGROUND AND OBJECTIVE: The purpose of the present study was to investigate low-shot deep learning...

Apr 2021 33862570

Ultra-high-frequency ultrasound and machine learning approaches for the differential diagnosis of melanocytic lesions.

Malignant melanoma (MM) is one of the most dangerous skin cancers. The aim of this study was to pres...

Mar 2021 33738861

Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.

BACKGROUND: Targeted therapy and immunotherapy put forward higher demands for accurate lung cancer c...

Mar 2021 33775248

Investigating heterogeneities of live mesenchymal stromal cells using AI-based label-free imaging.

Mesenchymal stromal cells (MSCs) are multipotent cells that have great potential for regenerative me...

Mar 2021 33762607

A hierarchical three-step superpixels and deep learning framework for skin lesion classification.

Skin cancer is one of the most common and dangerous cancer that exists worldwide. Malignant melanoma...

Feb 2021 33610692

TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties.

Immunotherapy is a research area with great potential in drug discovery for cancer treatment. Becaus...

Feb 2021 33592504

Automated Detection and Segmentation of Brain Metastases in Malignant Melanoma: Evaluation of a Dedicated Deep Learning Model.

BACKGROUND AND PURPOSE: Malignant melanoma is an aggressive skin cancer in which brain metastases ar...

Feb 2021 33541907

Artificial intelligence in dermatopathology: Diagnosis, education, and research.

Artificial intelligence (AI) utilizes computer algorithms to carry out tasks with human-like intelli...

Jan 2021 33421167

Melanoma diagnosis using deep learning techniques on dermatoscopic images.

BACKGROUND: Melanoma has become more widespread over the past 30 years and early detection is a majo...

Jan 2021 33407213

Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.

This study aimed to use computed tomography (CT) images to assess PD-L1 expression in non-small cel...

Jan 2021 33500713

Semi-supervised learning for somatic variant calling and peptide identification in personalized cancer immunotherapy.

BACKGROUND: Personalized cancer vaccines are emerging as one of the most promising approaches to imm...

(2)

Dec 2020 33375939

CellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy.

Systematic perturbation of cells followed by comprehensive measurements of molecular and phenotypic ...

Dec 2020 33373583

Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers.

Whole-slide histology images contain information that is valuable for clinical and basic science inv...

Dec 2020 33355190

Immune profile of the tumor microenvironment and the identification of a four-gene signature for lung adenocarcinoma.

The composition and relative abundances of immune cells in the tumor microenvironment are key factor...

(2)

Dec 2020 33318300

An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design.

Drugs in solid dispersion (SD) take advantage of fast and extended dissolution, thus attains a highe...

Dec 2020 33301864

Oncology/Hematology

Browse Categories

Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.

Analysis of Tumor Microenvironment Characteristics in Bladder Cancer: Implications for Immune Checkpoint Inhibitor Therapy.

Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning.

Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.

Ultra-high-frequency ultrasound and machine learning approaches for the differential diagnosis of melanocytic lesions.

Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.

Investigating heterogeneities of live mesenchymal stromal cells using AI-based label-free imaging.

A hierarchical three-step superpixels and deep learning framework for skin lesion classification.

TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties.

Automated Detection and Segmentation of Brain Metastases in Malignant Melanoma: Evaluation of a Dedicated Deep Learning Model.

Artificial intelligence in dermatopathology: Diagnosis, education, and research.

Melanoma diagnosis using deep learning techniques on dermatoscopic images.

Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.

Semi-supervised learning for somatic variant calling and peptide identification in personalized cancer immunotherapy.

CellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy.

Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers.

Immune profile of the tumor microenvironment and the identification of a four-gene signature for lung adenocarcinoma.

An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design.

A Deep Learning Approach to Photoacoustic Wavefront Localization in Deep-Tissue Medium.

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer.

Development of a light-weight deep learning model for cloud applications and remote diagnosis of skin cancers.

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