Hematology

Hemophilia

Latest AI and machine learning research in hemophilia for healthcare professionals.

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Subcutaneous cefazolin to reduce surgical site infections in a porcine model.

BACKGROUND: Surgical site infections (SSIs) pose a significant health and financial burden. A key as...

Present therapeutic role of cholesteryl ester transfer protein inhibitors.

Therapeutic interventions aimed at increasing high-density lipoprotein (HDL) levels in order to redu...

[Surveillance of Sensitivity to Penicillin in streptococcus Agalactiae recovered from pregnant women between 35-37 weeks of gestation].

Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, p...

Association of prothrombotic adipokine (plasminogen activator inhibitor-1) with TSH in metabolic syndrome: a case control study.

Background Metabolic syndrome (MetS) involves a cluster of cardiovascular risk factors, including ab...

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor...

Integrating DNA structure switch with branched hairpins for the detection of uracil-DNA glycosylase activity and inhibitor screening.

The detection of uracil-DNA glycosylase (UDG) activity is pivotal for its biochemical studies and th...

Tyramine reduction by tyrosine decarboxylase inhibitor in for tyramine controlled .

This study was carried out to find a method to control tyrosine decarboxylase activity (TDC) of a st...

Diagnosis and care of patients with mild haemophilia: practical recommendations for clinical management.

Mild haemophilia is defined by factor levels between 0.05 and 0.40 IU/mL and is characterised by tra...

Extended Adjuvant Aromatase Inhibitor Therapy in Post-Menopausal Women.

PURPOSE OF THE REVIEW: To understand the evidence for extending adjuvant aromatase inhibitor (AI) th...

Kinase inhibitor screening using artificial neural networks and engineered cardiac biowires.

Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activat...

Pharmacokinetics and pharmacodynamics modeling of lonafarnib in patients with chronic hepatitis delta virus infection.

The prenylation inhibitor lonafarnib (LNF) is a potent antiviral agent providing a breakthrough for ...

Sofosbuvir-based regimens for the treatment of chronic hepatitis C in severe renal dysfunction.

Sofosbuvir (SOF) is a nonstructural 5B polymerase inhibitor with activity in all hepatitis C virus (...

Hepatitis B reactivation in psoriasis patients treated with anti-TNF agents: prevention and management.

The risk of hepatitis B virus (HBV) reactivation (HBVr) in chronic HBV carriers, in occult HBV patie...

Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies.

Binary classification problems are ubiquitous in health and social sciences. In many cases, one wish...

Effect of Silibinin on Maspin and ERα Gene Expression in MCF-7 Human Breast Cancer Cell Line.

BACKGROUND AND OBJECTIVE: According to reports, a serine protease inhibitor (Maspin) suppresses meta...

Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct versus Indirect Kinase Substrates.

Mass spectrometry allows quantification of tens of thousands of phosphorylation sites from minute am...

Study of Structure-active Relationship for Inhibitors of HIV-1 Integrase LEDGF/p75 Interaction by Machine Learning Methods.

HIV-1 integrase (IN) is a promising target for anti-AIDS therapy, and LEDGF/p75 is proved to enhance...

A system of recurrent neural networks for modularising, parameterising and dynamic analysis of cell signalling networks.

In this paper, we show how to extend our previously proposed novel continuous time Recurrent Neural ...

Predicting DPP-IV inhibitors with machine learning approaches.

Dipeptidyl peptidase IV (DPP-IV) is a promising Type 2 diabetes mellitus (T2DM) drug target. DPP-IV ...

Natural language processing to ascertain two key variables from operative reports in ophthalmology.

PURPOSE: Antibiotic prophylaxis is critical to ophthalmology and other surgical specialties. We perf...

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