Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Showing 6700-6720 of 15,652 articles
Novel in Vivo and in Vitro Pharmacokinetic/Pharmacodynamic-Based Human Starting Dose Selection for Glofitamab.

We present a novel approach for first-in-human (FIH) dose selection of the CD20xCD3 bispecific antib...

Outcomes of Robot-Assisted Laparoscopic Isthmus Division Using Endoscopic Transection Equipment in the Treatment of Symptomatic Horseshoe Kidney.

The surgical treatment of horseshoe kidney (HSK) remains a huge challenge because of the complex an...

A survey on graph-based deep learning for computational histopathology.

With the remarkable success of representation learning for prediction problems, we have witnessed a ...

Morphological features of single cells enable accurate automated classification of cancer from non-cancer cell lines.

Accurate cancer detection and diagnosis is of utmost importance for reliable drug-response predictio...

Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.

Conventional deep learning (DL) algorithm requires full supervision of annotating the region of inte...

Engineering naphthalimide-cyanine integrated near-infrared dye into ROS-responsive nanohybrids for tumor PDT/PTT/chemotherapy.

Photodynamic (PDT) and photothermal therapies (PTT) are emerging treatments for tumour ablation. Org...

Machine Learning and Its Application in Skin Cancer.

Artificial intelligence (AI) has wide applications in healthcare, including dermatology. Machine lea...

Does transition from standard to Retzius-sparing technique in robot-assisted radical prostatectomy affect the functional and oncological outcomes?

OBJECTIVE: To appraise the outcomes on the Retzius-sparing robot-assisted radical prostatectomy (Rs-...

Bone Cancer Detection Using Feature Extraction Based Machine Learning Model.

Bone cancer is considered a serious health problem, and, in many cases, it causes patient death. The...

Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis.

OBJECTIVES: To evaluate CT-derived radiomics for machine learning-based classification of thymic epi...

DeepTI: A deep learning-based framework decoding tumor-immune interactions for precision immunotherapy in oncology.

BACKGROUND: Increasing evidence suggests the immunomodulatory potential of genes in oncology. But th...

Radiation Protection and Occupational Exposure on Ga-PSMA-11-Based Cerenkov Luminescence Imaging Procedures in Robot-Assisted Prostatectomy.

Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a ...

Deep Learning for Radiotherapy Outcome Prediction Using Dose Data - A Review.

Artificial intelligence, and in particular deep learning using convolutional neural networks, has be...

MFmap: A semi-supervised generative model matching cell lines to tumours and cancer subtypes.

Translating in vitro results from experiments with cancer cell lines to clinical applications requir...

Artificial intelligence-aided clinical annotation of a large multi-cancer genomic dataset.

To accelerate cancer research that correlates biomarkers with clinical endpoints, methods are needed...

Cytotoxic effect of sea anemone pore-forming toxin on K562 chronic myeloid leukemia cells.

Chronic myelogenous leukemia (CML) is one of prevalent cancer worldwide. In spite of various designe...

Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools.

PURPOSE: Computational approaches have been used at different stages of drug development with the pu...

Pharmacological, Technological, and Digital Innovative Aspects in Rhinology.

Innovation refers to the introduction of a product, a process, a service or a solution resulting in ...

Robotic Versus Laparoscopic Surgery for Rectal Cancer: A Comprehensive Review of Oncological Outcomes.

The treatment of rectal cancer is complex and involves specialized multidisciplinary care, although ...

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