Leukemia

Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks.

Premature all-cause mortality is high in patients receiving peritoneal dialysis (PD). The accurate a...

Learning deep features for dead and living breast cancer cell classification without staining.

Automated cell classification in cancer biology is a challenging topic in computer vision and machin...

Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features.

Acute respiratory distress syndrome (ARDS) is a life-threatening lung injury with global prevalence ...

Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density.

Arthritis patients develop hand bone loss, which leads to destruction and functional impairment of t...

Computational methods for characterizing and learning from heterogeneous cell signaling data.

Heterogeneity in cell signaling pathways is increasingly appreciated as a fundamental feature of cel...

Synthetic single cell RNA sequencing data from small pilot studies using deep generative models.

Deep generative models, such as variational autoencoders (VAEs) or deep Boltzmann machines (DBMs), c...

Urine leak after robotic radical prostatectomy: not all urine leaks come from the anastomosis.

Radical prostatectomy is the gold standard in patients that are surgical candidates with localized p...

Impact of polyphenol-rich extracts of fruits and seeds on viability of human intestinal and liver cells .

(Kakadu plum) is a native Australian fruit consumed by Indigenous Australians for centuries. Commer...

PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer.

The nuclear protein Ki-67 and Tumor infiltrating lymphocytes (TILs) have been introduced as prognost...

CBCR: A Curriculum Based Strategy For Chromosome Reconstruction.

In this paper, we introduce a novel algorithm that aims to estimate chromosomes' structure from thei...

Tens of images can suffice to train neural networks for malignant leukocyte detection.

Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It...

Magnetic tri-bead microrobot assisted near-infrared triggered combined photothermal and chemotherapy of cancer cells.

Magnetic micro/nanorobots attracted much attention in biomedical fields because of their precise mov...

An anomaly detection approach to identify chronic brain infarcts on MRI.

The performance of current machine learning methods to detect heterogeneous pathology is limited by ...

A Novel Drug Repositioning Approach Based on Collaborative Metric Learning.

Computational drug repositioning, which is an efficient approach to find potential indications for d...

Robotic left hemicolectomy utilizing all three robotic arms - A video vignette.

Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs.

Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accuratel...

A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer.

Small cell lung cancer (SCLC) is a particularly aggressive tumor subtype, and dihydroorotate dehydro...

Establishing a Robot-Assisted Kidney Transplant Program: Independent Evaluation of the Learning Curve and Surgical Nuances.

Robot-assisted kidney transplantation (RAKT) is a technically challenging procedure and there has b...

A novel artificial intelligence protocol to investigate potential leads for diabetes mellitus.

Dipeptidyl peptidase-4 (DPP4) is highly participated in regulating diabetes mellitus (DM), and inhib...

Is Anti-Müllerian Hormone a Marker of Ovarian Reserve in Young Breast Cancer Patients Receiving a GnRH Analog during Chemotherapy?

INTRODUCTION: Anti-Müllerian hormone (AMH) is the most reliable biomarker of ovarian reserve; howeve...

Novel gene signatures for stage classification of the squamous cell carcinoma of the lung.

The squamous cell carcinoma of the lung (SCLC) is one of the most common types of lung cancer. As GL...