Pathology

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

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Illuminating Entomological Dark Matter with DNA Barcodes in an Era of Insect Decline, Deep Learning, and Genomics.

Most insects encountered in the field are initially entomological dark matter in that they cannot be...

Artificial intelligence in risk prediction and diagnosis of vertebral fractures.

With the increasing prevalence of vertebral fractures, accurate diagnosis and prognostication are es...

Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model.

Image processing and pattern recognition methods have recently been extensively implemented in histo...

Artificial intelligence-based computer-aided diagnosis for breast cancer detection on digital mammography in Hong Kong.

INTRODUCTION: Research concerning artificial intelligence in breast cancer detection has primarily f...

Association between Alzheimer's disease pathologic products and age and a pathologic product-based diagnostic model for Alzheimer's disease.

BACKGROUND: Alzheimer's disease (AD) has a major negative impact on people's quality of life, life, ...

Sustainable nanomaterials: the role of Cyrene in optimising carbon nanotubes dispersion and filtration efficiency.

This study focuses on the fabrication and characterisation of single-walled carbon nanotube (SWCNT) ...

Pharmacokinetics, bioavailability, and tissue distribution of MRTX1133 in rats using UHPLC-MS/MS.

INTRODUCTION: MRTX1133 is a selective and reversible small molecule inhibitor of KRAS (G12D), which ...

A multimodal deep-learning model based on multichannel CT radiomics for predicting pathological grade of bladder cancer.

OBJECTIVE: To construct a predictive model using deep-learning radiomics and clinical risk factors f...

Photonic platform coupled with machine learning algorithms to detect pyrolysis products of crack cocaine in saliva: A proof-of-concept animal study.

The non-invasive detection of crack/cocaine and other bioactive compounds from its pyrolysis in sali...

Deep learning detected histological differences between invasive and non-invasive areas of early esophageal cancer.

The depth of invasion plays a critical role in predicting the prognosis of early esophageal cancer, ...

Radiomics and deep learning features of pericoronary adipose tissue on non-contrast computerized tomography for predicting non-calcified plaques.

BACKGROUND: Inflammation of coronary arterial plaque is considered a key factor in the development o...

Recognizing SARS-CoV-2 infection of nasopharyngeal tissue at the single-cell level by machine learning method.

SARS-CoV-2 has posed serious global health challenges not only because of the high degree of virus t...

Determining structures of RNA conformers using AFM and deep neural networks.

Much of the human genome is transcribed into RNAs, many of which contain structural elements that ar...

Segmentation for mammography classification utilizing deep convolutional neural network.

BACKGROUND: Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identifi...

Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy.

Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment, underscoring th...

The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study.

BACKGROUND: Thus far, considerable research has been focused on classifying a lesion as benign or ma...

Lymphoma triage from H&E using AI for improved clinical management.

AIMS: In routine diagnosis of lymphoma, initial non-specialist triage is carried out when the sample...

Covalent integration of polymers and porous organic frameworks.

Covalent integration of polymers and porous organic frameworks (POFs), including metal-organic frame...

3D Bioprinting and Artificial Intelligence-Assisted Biofabrication of Personalized Oral Soft Tissue Constructs.

Regeneration of oral soft tissue defects, including mucogingival defects associated with the recessi...

Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins.

PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy ...

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