Artificial intelligence for proteomics and biomarker discovery

M Mann, C Kumar, WF Zeng, MT Strauss - Cell systems, 2021‏ - cell.com
There is an avalanche of biomedical data generation and a parallel expansion in
computational capabilities to analyze and make sense of these data. Starting with genome …

Graph representation learning in biomedicine and healthcare

MM Li, K Huang, M Zitnik - Nature Biomedical Engineering, 2022‏ - nature.com
Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …

Semantic similarity and machine learning with ontologies

M Kulmanov, FZ Smaili, X Gao… - Briefings in …, 2021‏ - academic.oup.com
Ontologies have long been employed in the life sciences to formally represent and reason
over domain knowledge and they are employed in almost every major biological database …

Democratizing knowledge representation with BioCypher

S Lobentanzer, P Aloy, J Baumbach, B Bohar… - Nature …, 2023‏ - nature.com
Biomedical data are amassed at an ever-increasing rate, and machine learning tools that
use prior knowledge in combination with biomedical big data are gaining much traction 1, 2 …

A review of biomedical datasets relating to drug discovery: a knowledge graph perspective

S Bonner, IP Barrett, C Ye, R Swiers… - Briefings in …, 2022‏ - academic.oup.com
Drug discovery and development is a complex and costly process. Machine learning
approaches are being investigated to help improve the effectiveness and speed of multiple …

Knowledge engineering using large language models

BP Allen, L Stork, P Groth - ar** review on multimodal deep learning in biomedical images and texts
Z Sun, M Lin, Q Zhu, Q **e, F Wang, Z Lu… - Journal of biomedical …, 2023‏ - Elsevier
Objective Computer-assisted diagnostic and prognostic systems of the future should be
capable of simultaneously processing multimodal data. Multimodal deep learning (MDL) …

A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions

L Yang, SB Li, CJ Li, AS Zhang, XD Zhang - Science China Technological …, 2023‏ - Springer
Flight data anomaly detection plays an imperative role in the safety and maintenance of
unmanned aerial vehicles (UAVs). It has attracted extensive attention from researchers …