Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective

MMF Hasan, MS Zantye, MK Kazi - Computers & Chemical Engineering, 2022 - Elsevier
Carbon capture, utilization, and storage (CCUS) is a promising pathway to decarbonize
fossil-based power and industrial sectors and is a bridging technology for a sustainable …

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

M Sahu, R Gupta, RK Ambasta, P Kumar - Progress in molecular biology …, 2022 - Elsevier
The integration of artificial intelligence in precision medicine has revolutionized healthcare
delivery. Precision medicine identifies the phenotype of particular patients with less-common …

The Potential of Machine Learning for Enhancing CO2 Sequestration, Storage, Transportation, and Utilization-based Processes: A Brief Perspective

S Gupta, L Li - Jom, 2022 - Springer
In the paper, we present a review of different types of CO2 capture, storage, transportation,
and utilization (CCSTU) processes. We have also reviewed their further development by …

Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry

SA Kumar, TD Ananda Kumar… - Future Medicinal …, 2022 - Taylor & Francis
Predicting novel small molecule bioactivities for the target deconvolution, hit-to-lead
optimization in drug discovery research, requires molecular representation. Previous reports …

Executive summary of the artificial intelligence in surgery series

TJ Loftus, APJ Vlaar, AJ Hung, A Bihorac, BM Dennis… - Surgery, 2022 - Elsevier
As opportunities for artificial intelligence to augment surgical care expand, the
accompanying surge in published literature has generated both substantial enthusiasm and …

[HTML][HTML] Integrated clinical environment security analysis using reinforcement learning

M Ibrahim, R Elhafiz - Bioengineering, 2022 - mdpi.com
Many communication standards have been proposed recently and more are being
developed as a vision for dynamically composable and interoperable medical equipment …

Машинное обучение в диагностике и лечении офтальмологических заболеваний

ПВ Глизница, ХП Тахчиди, СН Светозарский… - Head and Neck/Голова …, 2022 - elibrary.ru
Машинное обучение-это раздел искусственного интеллекта, который направлен на
приспособление компьютерных алгоритмов к обучению. Способность решать задачи …

Reinforcement Learning for Healthcare: From Model Development to Deployment

J Yao - 2022 - search.proquest.com
Reinforcement Learning (RL) is a subfield of Machine Learning (ML) focuses on how agents
learn to make optimal decisions over time to achieve particular goals. Given its emphasis on …