Hematology

Lymphoma

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

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Nonlinear control of a class of non-affine variable-speed variable-pitch wind turbines with radial-basis function neural networks.

Due to complicated dynamics, wind turbines' governing equations are subject to uncertainties and unk...

A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique.

Diabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without any alarm...

Vaccine Therapy in Non-Small Cell Lung Cancer.

Immunotherapy using immune checkpoint modulators has revolutionized the oncology field, emerging as ...

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform.

Multivariate time series forecasting remains a challenging task because of its nonlinear, non-statio...

The effect of robotic rehabilitation on posture and trunk control in non-ambulatory cerebral palsy.

The purpose of this study was to investigate the effects of a combined robot-assisted gait training ...

Modern Learning from Big Data in Critical Care: Primum Non Nocere.

Large and complex data sets are increasingly available for research in critical care. To analyze the...

Deep learning-based time-of-flight (ToF) image enhancement of non-ToF PET scans.

PURPOSE: To improve the quantitative accuracy and diagnostic confidence of PET images reconstructed ...

A novel deep learning prognostic system improves survival predictions for stage III non-small cell lung cancer.

BACKGROUND: Accurate prognostic prediction plays a crucial role in the clinical setting. However, th...

Experimental analysis and parameter optimization on the reduction of NOx from diesel engine using RSM and ANN Model.

The major emission sources of NO are from automobiles, trucks, and various non-road vehicles, power ...

s-CAM: An Untethered Insertable Laparoscopic Surgical Camera Robot with Non-Contact Actuation.

Fully insertable robotic imaging devices represent a promising future of minimally invasive laparosc...

Classification of non-coding variants with high pathogenic impact.

Whole genome sequencing is increasingly used to diagnose medical conditions of genetic origin. While...

Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.

Parallel imaging is the most clinically used acceleration technique for magnetic resonance imaging (...

Automated estimation of cancer cell deformability with machine learning and acoustic trapping.

Cell deformability is a useful feature for diagnosing various diseases (e.g., the invasiveness of ca...

Microbial chassis engineering drives heterologous production of complex secondary metabolites.

The cryptic secondary metabolite biosynthetic gene clusters (BGCs) far outnumber currently known sec...

A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.

Non-invasive foetal electrocardiography (NI-FECG) has become an important prenatal monitoring method...

Depression screening using a non-verbal self-association task: A machine-learning based pilot study.

BACKGROUND: Effective screening is important to combat the raising burden of depression and opens a ...

One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data.

Integrative analysis of large-scale single-cell RNA sequencing (scRNA-seq) datasets can aggregate co...

A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning.

During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future ...

Anthropomorphic Robotic Eyes: Structural Design and Non-Verbal Communication Effectiveness.

This paper shows the structure of a mechanical system with 9 DOFs for driving robot eyes, as well as...

Label-Free Differentiation of Cancer and Non-Cancer Cells Based on Machine-Learning-Algorithm-Assisted Fast Raman Imaging.

This paper proposes a rapid, label-free, and non-invasive approach for identifying murine cancer cel...

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