Machine learning for electrocatalyst and photocatalyst design and discovery

H Mai, TC Le, D Chen, DA Winkler… - Chemical …, 2022 - ACS Publications
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …

[HTML][HTML] Nanopore sequencing technology, bioinformatics and applications

Y Wang, Y Zhao, A Bollas, Y Wang, KF Au - Nature biotechnology, 2021 - nature.com
Rapid advances in nanopore technologies for sequencing single long DNA and RNA
molecules have led to substantial improvements in accuracy, read length and throughput …

Artificial intelligence in molecular medicine

B Gomes, EA Ashley - New England Journal of Medicine, 2023 - Mass Medical Soc
Artificial Intelligence in Molecular Medicine | New England Journal of Medicine Skip to main
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 …

Toward explainable artificial intelligence for precision pathology

F Klauschen, J Dippel, P Keyl… - Annual Review of …, 2024 - annualreviews.org
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 …

Advancing biosensors with machine learning

F Cui, Y Yue, Y Zhang, Z Zhang, HS Zhou - ACS sensors, 2020 - ACS Publications
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 …

Solid-state nanopore sensors

L Xue, H Yamazaki, R Ren, M Wanunu… - Nature Reviews …, 2020 - nature.com
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 …

Long-read human genome sequencing and its applications

GA Logsdon, MR Vollger, EE Eichler - Nature Reviews Genetics, 2020 - nature.com
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 …

Opportunities and challenges in long-read sequencing data analysis

SL Amarasinghe, S Su, X Dong, L Zappia, ME Ritchie… - Genome biology, 2020 - Springer
Long-read technologies are overcoming early limitations in accuracy and throughput,
broadening their application domains in genomics. Dedicated analysis tools that take into …

A survey of deep learning-based object detection

L Jiao, F Zhang, F Liu, S Yang, L Li, Z Feng… - IEEE access, 2019 - ieeexplore.ieee.org
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 …