Machine learning for electrocatalyst and photocatalyst design and discovery
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …
reducing the impact of global warming, and providing solutions to environmental pollution …
[HTML][HTML] Nanopore sequencing technology, bioinformatics and applications
Rapid advances in nanopore technologies for sequencing single long DNA and RNA
molecules have led to substantial improvements in accuracy, read length and throughput …
molecules have led to substantial improvements in accuracy, read length and throughput …
Artificial intelligence in molecular medicine
Artificial Intelligence in Molecular Medicine | New England Journal of Medicine Skip to main
content The New England Journal of Medicine homepage Advanced Search SEARCH …
content The New England Journal of Medicine homepage Advanced Search SEARCH …
[HTML][HTML] Recent advances in electrochemical biosensors: Applications, challenges, and future scope
A Singh, A Sharma, A Ahmed, AK Sundramoorthy… - Biosensors, 2021 - mdpi.com
The electrochemical biosensors are a class of biosensors which convert biological
information such as analyte concentration that is a biological recognition element …
information such as analyte concentration that is a biological recognition element …
Toward explainable artificial intelligence for precision pathology
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …
diagnostic pathology with respect to its ability to analyze histological images and …
Advancing biosensors with machine learning
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …
Solid-state nanopore sensors
Nanopore-based sensors have established themselves as a prominent tool for solution-
based, single-molecule analysis of the key building blocks of life, including nucleic acids …
based, single-molecule analysis of the key building blocks of life, including nucleic acids …
Long-read human genome sequencing and its applications
Over the past decade, long-read, single-molecule DNA sequencing technologies have
emerged as powerful players in genomics. With the ability to generate reads tens to …
emerged as powerful players in genomics. With the ability to generate reads tens to …
Opportunities and challenges in long-read sequencing data analysis
Long-read technologies are overcoming early limitations in accuracy and throughput,
broadening their application domains in genomics. Dedicated analysis tools that take into …
broadening their application domains in genomics. Dedicated analysis tools that take into …
A survey of deep learning-based object detection
Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …
which has been widely applied in people's life, such as monitoring security, autonomous …