Hematology

Lymphoma

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

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Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning.

Fingerprints provide indisputable forensic evidence for establishing identity. Latent fingerprints, ...

CytoLNCpred-a computational method for predicting cytoplasm associated long non-coding RNAs in 15 cell-lines.

The function of long non-coding RNA (lncRNA) is largely determined by its specific location within a...

Advanced Non-Destructive Testing Simulation and Modeling Approaches for Fiber-Reinforced Polymer Pipes: A Review.

Fiber-reinforced polymer (FRP) pipes have emerged as a preferred alternative to conventional metalli...

The predictive value of F-FDG PET/CT radiomics for pleural invasion in non-small cell lung cancer.

OBJECTIVE: This study aims to develop and validate a PET/CT radiomics fusion model for preoperative ...

Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome.

Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down ...

Epidemiology and survival of patients with primary lymphoma of bone: a large retrospective cohort study.

Primary lymphoma of bone (PLB) is a rare extranodal lymphoma, and its epidemiology and prognosis rem...

Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage.

BACKGROUNDS: Delayed cerebral ischemia (DCI) is a significant complication following aneurysmal suba...

Single-cell multimodal analysis reveals tumor microenvironment predictive of treatment response in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) constitutes over 80% of lung cancer cases and remains a leading c...

Non-invasive arterial input function estimation using an MRA atlas and machine learning.

BACKGROUND: Quantifying biological parameters of interest through dynamic positron emission tomograp...

Large language model-based multimodal system for detecting and grading ocular surface diseases from smartphone images.

BACKGROUND: The development of medical artificial intelligence (AI) models is primarily driven by th...

NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework.

Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents...

The silent epidemic of non-adherence - insights from the 2024 a:care congress.

Medication non-adherence is a global challenge with profound implications for patient health outcome...

Evaluating methods for the prediction of cell-type-specific enhancers in the mammalian cortex.

Identifying cell-type-specific enhancers is critical for developing genetic tools to study the mamma...

Predicting the availability of power line communication nodes using semi-supervised learning algorithms.

Power Line Communication (PLC) facilitates the usage of power cables to transmit data. The issue is ...

Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm.

BackgroundNon-invasive methods with universal prognostic guidance for detecting breast cancer (BC) s...

Imaging patterns and recommendations for diagnosis, staging, and management of lung cancer.

Lung cancer is the second most commonly diagnosed cancer worldwide. In the present era of targeted t...

Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.

BACKGROUND: Establishing normative isokinetic muscle strength values and prediction models for knee ...

Prognostic effect of CD74 and development of a radiomic model for predicting CD74 expression in non-small cell lung cancer.

BACKGROUND: The classical prognostic indicators of lung cancer are no longer sufficient for prognost...

Development of Non-Invasive Continuous Glucose Prediction Models Using Multi-Modal Wearable Sensors in Free-Living Conditions.

Continuous monitoring of glucose levels is important for diabetes management and prevention. While t...

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