Genetics

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

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Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study.

BACKGROUND: Accurate detection of driver gene mutations is crucial for treatment planning and predic...

An extrapolation-driven network architecture for physics-informed deep learning.

Current physics-informed neural network (PINN) implementations with sequential learning strategies o...

Representing DNA for machine learning algorithms: A primer on one-hot, binary, and integer encodings.

This short paper presents an educational approach to teaching three popular methods for encoding DNA...

Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth.

BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long duration...

AlzGenPred - CatBoost-based gene classifier for predicting Alzheimer's disease using high-throughput sequencing data.

AD is a progressive neurodegenerative disorder characterized by memory loss. Due to the advancement ...

CAGCL: Predicting Short- and Long-Term Breast Cancer Survival With Cross-Modal Attention and Graph Contrastive Learning.

In breast cancer treatment, accurately predicting how long a patient will survive is crucial for dec...

Weakly Supervised Classification for Nasopharyngeal Carcinoma With Transformer in Whole Slide Images.

Pathological examination of nasopharyngeal carcinoma (NPC) is an indispensable factor for diagnosis,...

Deep learning-driven multi-omics sequential diagnosis with Hybrid-OmniSeq: Unraveling breast cancer complexity.

BackgroundBreast cancer results from an uncontrolled growth of breast tissue. Many methods of diagno...

Harnessing machine learning and multi-omics to explore tumor evolutionary characteristics and the role of AMOTL1 in prostate cancer.

Although recent advancements have shed light on the crucial role of coordinated evolution among cell...

Detection of Apple Proliferation Disease Using Hyperspectral Imaging and Machine Learning Techniques.

Apple proliferation is among the most important diseases in European fruit production. Early and rel...

Transformers significantly improve splice site prediction.

Mutations that affect RNA splicing significantly impact human diversity and disease. Here we present...

[The future of medicine: an informed look into the "crystal ball"].

This article explores potential future scenarios for the medical field based on current trends, tech...

Design of Recyclable Plastics with Machine Learning and Genetic Algorithm.

We present an artificial intelligence-guided approach to design durable and chemically recyclable ri...

RNA Editing Signatures Powered by Artificial Intelligence: A New Frontier in Differentiating Schizophrenia, Bipolar, and Schizoaffective Disorders.

Mental health disorders are devastating illnesses, often misdiagnosed due to overlapping clinical sy...

Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes.

BACKGROUND: It is unclear regarding the association between metabolomic state/genetic risk score(GRS...

Genetic algorithm-based optimal design for fluidic artificial muscle (FAM) bundles.

In this paper, we present a design optimization framework for a fluidic artificial muscle (FAM) bund...

Predicting chemotherapy responsiveness in gastric cancer through machine learning analysis of genome, immune, and neutrophil signatures.

BACKGROUND: Gastric cancer is a major oncological challenge, ranking highly among causes of cancer-r...

A histopathology-based artificial intelligence system assisting the screening of genetic alteration in intrahepatic cholangiocarcinoma.

BACKGROUND: Targeted therapy for intrahepatic cholangiocarcinoma (ICC) shows superior survival outco...

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