Allergy & Immunology

Allergy

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

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Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis.

PURPOSE: This study aimed to propose an effective end-to-end process in medical imaging using an ind...

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.

DNase I hypersensitive site (DHS) refers to the hypersensitive region of chromatin for the DNase I e...

Unveiling the immune infiltrate modulation in cancer and response to immunotherapy by MIXTURE-an enhanced deconvolution method.

The accurate quantification of tumor-infiltrating immune cells turns crucial to uncover their role i...

Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.

BACKGROUND: Currently, only a fraction of patients with non-small cell lung cancer (NSCLC) treated w...

Role of Intralesional Vitamin D3 in the Treatment of Cutaneous Warts.

BACKGROUND: Cutaneous warts are common benign skin lesions caused by human papillomavirus. Various t...

Data Science-Based Analysis of Patient Subgroup Structures Suggest Effects of Rhinitis on All Chemosensory Perceptions in the Upper Airways.

Viral rhinitis contributes significantly to olfactory dysfunction, but it is unclear how many patien...

Dermoscopic Features of Giant Molluscum Contagiosum in a Patient with Acquired Immunodeficiency Syndrome.

Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...

Improvement of solubility and dissolution of ebastine by fabricating phosphatidylcholine/ bile salt bilosomes.

Although ebastine (EBT) can impede histamine-induced skin allergic reaction and persuade long acting...

Elucidating the interaction dynamics between microswimmer body and immune system for medical microrobots.

The structural design parameters of a medical microrobot, such as the morphology and surface chemist...

Adaptive back-stepping cancer control using Legendre polynomials.

Here, a model-free controller for cancer treatment is presented. The treatment objective is to find ...

Artificial Intelligence in Dermatology-Where We Are and the Way to the Future: A Review.

Although artificial intelligence has been available for some time, it has garnered significant inter...

An Assessment of Cariogenic and Erosive Potential of Pediatric Liquid Medicaments on Primary Teeth: A Comparative Study.

AIM: To compare the cariogenic and erosive potential of seven commonly prescribed pediatric liquid m...

Quantification of Mechanical Forces and Physiological Processes Involved in Pollen Tube Growth Using Microfluidics and Microrobotics.

Pollen tubes face many obstacles on their way to the ovule. They have to decide whether to navigate ...

Automated Classification of Airborne Pollen using Neural Networks.

Pollen allergies are considered as a global epidemic nowadays, as they influence more than a quarter...

Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despi...

Label-free optical hemogram of granulocytes enhanced by artificial neural networks.

An outstanding challenge for immunology is the classification of immune cells in a label-free fashio...

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