Hematology

Identifying novel factor XIIa inhibitors with PCA-GA-SVM developed vHTS models.

There currently is renewed interest in blood clotting Factor XII as a potential target for thrombosis inhibition. Historically untargeted, there is little drug information with which to start drug candidate searches. Typical high-throughput screening can identify potential drug candidates, but is inefficient. Virtual high-throughput screening can be used to raise efficiency by focusing experimenta...

Computational model for vitamin D deficiency using hair mineral analysis.

Vitamin D deficiency is prevalent in the Arabian Gulf region, especially among women. Recent studies show that the vitamin D deficiency is associated with a mineral status of a patient. Therefore, it is important to assess the mineral status of the patient to reveal the hidden mineral imbalance associated with vitamin D deficiency. A well-known test such as the red blood cells is fairly expensive,...

Intranasal bevacizumab treatment on epistaxis in hereditary haemorrhagic telangiectasia: a case report.

Hereditary haemorrhagic telangiectasia (HHT), also known as Osler-Weber-Rendu disease, is a rare, vascular, autosomal dominant disorder. The purpose o...

Near-patient coagulation testing to predict bleeding after cardiac surgery: a cohort study.

BACKGROUND: Coagulopathic bleeding is common after cardiac surgery and is associated with increased morbidity, mortality and healthcare costs. Impleme...

Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.

Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally prod...

Oleocanthal-rich extra virgin olive oil demonstrates acute anti-platelet effects in healthy men in a randomized trial.

The phenolic profiles of extra virgin olive oils (EVOOs) may influence their cardiovascular benefits. In a randomized crossover of acute EVOO intake o...

Pathophysiology of clinical benign prostatic hyperplasia.

A disease can be defined as an abnormal anatomy (pathology) and/or function (physiology) that may cause harm to the body. In clinical benign prostatic...

Pilot Study on the Performance of a New System for Image Based Analysis of Peripheral Blood Smears on Normal Samples.

Image analysis based automated systems aiming to automate the manual microscopic review of peripheral blood smears have gained popularity in recent ti...

and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer i...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decisio...

Serologic characterization of anti-protamine/heparin and anti-PF4/heparin antibodies.

Anti-protamine (PRT)/heparin antibodies are a newly described class of heparin-dependent antibodies occurring in patients exposed to PRT and heparin d...

Comparative study of ANN and RSM for simultaneous optimization of multiple targets in Fenton treatment of landfill leachate.

In this study, two modeling methods, namely response surface methodology (RSM) and artificial neural networks (ANN), were applied to investigate the F...

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication a...

Sensitive detection of rare disease-associated cell subsets via representation learning.

Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulat...

Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: with an Application to Treating Type 2 Diabetes Patients with Insulin Therapies.

Individualized medical decision making is often complex due to patient treatment response heterogeneity. Pharmacotherapy may exhibit distinct efficacy...

(matico) prevents collagen-induced platelet activation by decreasing phospholipase C-gamma 2 and protein kinase C phosphorylation signaling.

Platelets play a key role in thrombosis and cardiovascular diseases. Medicinal plants could be one of the most important factors that influence risks ...

Prediction of high on-treatment platelet reactivity in clopidogrel-treated patients with acute coronary syndromes.

BACKGROUND: About 40% of clopidogrel-treated patients display high platelet reactivity (HPR). Alternative treatments of HPR patients, identified by pl...

Two-way learning with one-way supervision for gene expression data.

BACKGROUND: A family of parsimonious Gaussian mixture models for the biclustering of gene expression data is introduced. Biclustering is accommodated ...

Leveraging electronic health records for predictive modeling of post-surgical complications.

Hospital-specific electronic health record systems are used to inform clinical practice about best practices and quality improvements. Many surgical c...

DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.

The ability to estimate the age of the donor from recovered biological material at a crime scene can be of substantial value in forensic investigation...