Latest AI and machine learning research in genetics for healthcare professionals.
INTRODUCTION: Predicting pathological complete response (pCR) for patients receiving neoadjuvant chemotherapy (NAC) is crucial in establishing individualized treatment. Whole-slide images (WSIs) of tumor tissues reflect the histopathologic information of the tumor, which is important for therapeutic response effectiveness. In this study, we aimed to investigate whether predictive information for p...
Artificial neural networks have revolutionized electronic computing. Similarly, molecular networks with neuromorphic architectures may enable molecular decision-making on a level comparable to gene regulatory networks. Non-enzymatic networks could in principle support neuromorphic architectures, and seminal proofs-of-principle have been reported. However, leakages (that is, the unwanted release of...
Although neural the architecture search (NAS) can bring improvement to deep models, it always neglects precious knowledge of existing models. The comp...
Pathogen genomic sequence data are increasingly made available for epidemiological monitoring. A main interest is to identify and assess the potential...
DNA methylation is closely related to the occurrence and development of many diseases, but its role in obesity is still unclear. This study aimed to f...
Despite extensive efforts to generate and analyze reference genomes, genetic models to predict gene regulation and cell fate decisions are lacking for...
A fundamental question in protein science is where allosteric hotspots - residues critical for allosteric signaling - are located, and what properties...
Digital PCR (dPCR) has recently attracted great interest due to its high sensitivity and accuracy. However, the existing dPCR depends on multicolor fl...
Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse...
BACKGROUND: Gliomas are highly complex and heterogeneous tumors, rendering prognosis prediction challenging. The advent of deep learning algorithms an...
The rationality and timeliness of the comprehensive results of English course learning quality are increasingly important in the process of modern edu...
In recent years, the non-biological applications of DNA molecules have made considerable progress; most of these applications were performed in vitro,...
Advanced Persistent Threat is an attack campaign in which an intruder or team of intruders establishes a long-term presence on a network to mine sensi...
The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve the integration of artificial intelligence (AI)-based s...
In recent years, major advances have been made in various chromosome conformation capture technologies to further satisfy the needs of researchers for...
BACKGROUND: Identifying splice site regions is an important step in the genomic DNA sequencing pipelines of biomedical and pharmaceutical research. Wi...
To achieve minimum DNA input requirements for next-generation sequencing (NGS), pathologists visually estimate macrodissection and slide count decisio...
There is evidence that non-coding RNAs play significant roles in the regulation of nutrient homeostasis, development, and stress responses in plants. ...
Training neural networks with backpropagation (BP) requires a sequential passing of activations and gradients. This has been recognized as the locking...
This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks....