Leukemia

Acute renal failure in systemic sclerosis revealing Goodpasture syndrome: "All that glitters is not scleroderma renal crisis".

The most common cause of acute renal failure in systemic sclerosis patients is scleroderma renal cri...

Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer's Disease.

It has demonstrated that glycogen synthase kinase 3β (GSK3β) is related to Alzheimer's disease (AD)....

Quantification of apixaban in human plasma using ultra performance liquid chromatography coupled with tandem mass spectrometry.

Apixaban, an inhibitor of direct factor Xa, is used for the treatment of venous thromboembolic event...

FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data.

Due to the large numbers of transcription factors (TFs) and cell types, querying binding profiles of...

Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma.

PURPOSE: To identify the role of radiomics texture features both within and outside the nodule in pr...

Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach.

Most paraquat (PQ) poisoned patients died from acute multiple organ failure (MOF) such as lung, kidn...

Knowledge Domain and Emerging Trends on Echinococcosis Research: A Scientometric Analysis.

The echinococcosis of humans and animals is a chronic helminthic disease caused by the larva of genu...

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application.

Molecular testing is increasingly important in cancer diagnosis. Targeted next generation sequencing...

Hybrid Rehabilitation Therapies on Upper-Limb Function and Goal Attainment in Chronic Stroke.

This study examined the treatment effects between unilateral hybrid therapy (UHT; unilateral robot-a...

Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.

Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility...

Relative Factors Analysis of Imatinib Trough Concentration in Chinese Patients with Gastrointestinal Stromal Tumor.

AIMS: Imatinib plasma trough levels (IM Cmin) have been reported to have a considerable clinical imp...

Simultaneous spatiotemporal tracking and oxygen sensing of transient implants in vivo using hot-spot MRI and machine learning.

A varying oxygen environment is known to affect cellular function in disease as well as activity of ...

Bone Marrow Cells Detection: A Technique for the Microscopic Image Analysis.

In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) ...

Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features.

The significant role of microRNAs (miRNAs) in various biological processes and diseases has been wid...

Not All Intelligence is Artificial: Data Science, Automation, and AI Meet HI.

Good advice is beyond all price, but what if it comes from a machine?

As nonhuman agents are integrated into the workforce, the question becomes to what extent advice see...

Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila.

Type IV secretion systems exist in a number of bacterial pathogens and are used to secrete effector ...

Cellular cartography of the organ of Corti based on optical tissue clearing and machine learning.

The highly organized spatial arrangement of sensory hair cells in the organ of Corti is essential fo...

MADS-Box Gene Classification in Angiosperms by Clustering and Machine Learning Approaches.

The MADS-box gene family is an important transcription factor family involved in floral organogenesi...

The Protective Effects of Ciji-Hua'ai-Baosheng II Formula on Chemotherapy-Treated H Hepatocellular Carcinoma Mouse Model by Promoting Tumor Apoptosis.

Ciji-Hua'ai-Baosheng II Formula (CHB-II-F) is a traditional Chinese medical formula that has been sh...

Machine Learning Models for the Prediction of Chemotherapy-Induced Peripheral Neuropathy.

PURPOSE: Chemotherapy-induced peripheral neuropathy (CIPN) is a common adverse side effect of cancer...