Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Enabling technologies for personalized and precision medicine

D Ho, SR Quake, ERB McCabe, WJ Chng… - Trends in …, 2020 - cell.com
Individualizing patient treatment is a core objective of the medical field. Reaching this
objective has been elusive owing to the complex set of factors contributing to both disease …

[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …

A Bakrania, N Joshi, X Zhao, G Zheng, M Bhat - Pharmacological research, 2023 - Elsevier
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …

CURATE. AI: optimizing personalized medicine with artificial intelligence

A Blasiak, J Khong, T Kee - … TECHNOLOGY: Translating Life …, 2020 - journals.sagepub.com
The clinical team attending to a patient upon a diagnosis is faced with two main questions:
what treatment, and at what dose? Clinical trials' results provide the basis for guidance and …

A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring

E Chen, S Prakash, V Janapa Reddi, D Kim… - Nature Biomedical …, 2023 - nature.com
The complex relationships between continuously monitored health signals and therapeutic
regimens can be modelled via machine learning. However, the clinical implementation of …

Project IDentif. AI: harnessing artificial intelligence to rapidly optimize combination therapy development for infectious disease intervention

A Abdulla, B Wang, F Qian, T Kee… - Advanced …, 2020 - Wiley Online Library
Abstract In 2019/2020, the emergence of coronavirus disease 2019 (COVID‐19) resulted in
rapid increases in infection rates as well as patient mortality. Treatment options addressing …

The IDentif. AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens

A Blasiak, ATL Truong, A Remus, L Hooi… - npj Digital …, 2022 - nature.com
IDentif. AI-x, a clinically actionable artificial intelligence platform, was used to rapidly
pinpoint and prioritize optimal combination therapies against COVID-19 by pairing a …

Discovery of Broad‐Spectrum Repurposed Drug Combinations Against Carbapenem‐Resistant Enterobacteriaceae (CRE) Through Artificial Intelligence (AI)‐Driven …

M Li, K You, P Wang, L Hooi, Y Chen… - Advanced …, 2024 - Wiley Online Library
Antimicrobial resistance challenges the sustainability of healthcare systems and results in
substantial economic losses worldwide. This issue is further aggravated by paucity of new …

[HTML][HTML] Physicians' perspectives on AI in clinical decision support systems: Interview study of the CURATE. AI personalized dose optimization platform

S Vijayakumar, VV Lee, QY Leong… - JMIR Human …, 2023 - humanfactors.jmir.org
Background Physicians play a key role in integrating new clinical technology into care
practices through user feedback and growth propositions to developers of the technology …

Overcoming pilotitis in digital medicine at the intersection of data, clinical evidence, and adoption

M Egermark, A Blasiak, A Remus… - Advanced Intelligent …, 2022 - Wiley Online Library
Worldwide, digital medicine technologies are being developed at a rapid rate. While these
digital medicine technologies offer the potential to transform and revolutionize health care …