Leukemia

Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome.

BACKGROUND: Multicolor flow cytometry (MFC) analysis is widely used to identify minimal residual dis...

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.

Skeletal bone age assessment is a common clinical practice to investigate endocrinology, and genetic...

Structure and Protein Interaction-Based Gene Ontology Annotations Reveal Likely Functions of Uncharacterized Proteins on Human Chromosome 17.

Understanding the function of human proteins is essential to decipher the molecular mechanisms of hu...

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

Hidden Markov models (HMMs) underpin the solution to many problems in computational neuroscience. Ho...

Robotic Assessment of Motor, Sensory, and Cognitive Function in Acute Sport-Related Concussion and Recovery.

There is a need for better tools to objectively, reliably, and precisely assess neurological functio...

The application of convolution neural network based cell segmentation during cryopreservation.

For most of the cells, water permeability and plasma membrane properties play a vital role in the op...

Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm.

PURPOSE: This study aimed to develop mathematical tools to predict the likelihood of recurrence afte...

A Novel Morphological Analysis of DXA-DICOM Images by Artificial Neural Networks for Estimating Bone Mineral Density in Health and Disease.

One of the best methods for diagnosing bone disease in humans is site-specific and total bone minera...

The Elephant in the Room: Outbreak of Carfentanil Deaths in Minnesota and the Importance of Multiagency Collaboration.

Over a three-month period in early 2017, the Hennepin County Medical Examiner's Office investigated ...

Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons.

The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementat...

Study on screening potential allergenic proteins from infant milk powders based on human mast cell membrane chromatography and histamine release assays.

Cow's milk allergy is mainly observed in infants and young children. Most allergic reactions affect ...

CeO Nanoparticles-Loaded pH-Responsive Microparticles with Antitumoral Properties as Therapeutic Modulators for Osteosarcoma.

Osteosarcoma is an aggressive form of bone cancer mostly affecting young people. To date, the most e...

Increased vitamin B levels in children with zinc deficiency.

Additional nutritional deficiencies may accompany zinc deficiency. We determined the vitamin B level...

Immunomarker Support Vector Machine Classifier for Prediction of Gastric Cancer Survival and Adjuvant Chemotherapeutic Benefit.

Current tumor-node-metastasis (TNM) staging system cannot provide adequate information for predicti...

Effect of Hepatitis C Treatment on Renal Function in Liver Transplant Patients.

Hepatitis C Virus (HCV) is uniformly recurrent after liver transplant (LT) and recurrence is associ...

Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.

Early detection of cancer can increase patients' survivability and treatment options. Medical images...

Drug response prediction by ensemble learning and drug-induced gene expression signatures.

Chemotherapeutic response of cancer cells to a given compound is one of the most fundamental informa...

Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy.

IMPORTANCE: Patients with cancer who die soon after starting chemotherapy incur costs of treatment w...

Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks.

From bacteria following simple chemical gradients to the brain distinguishing complex odour informat...

Right of reply to: The surgical 'Robot' in gynaecology: It isn't a robot at all, and it doesn't make anything better.

Effects of nilotinib on platelet function in patients with chronic myeloid leukemia in chronic phase.

BACKGROUND: Tyrosine kinases are highly expressed in platelets and play an important role in their a...