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Prediction of drug synergy in cancer using ensemble-based machine learning techniques
Drug synergy prediction plays a significant role in the medical field for inhibiting specific cancer agents. It can be developed as a pre-processing tool for therapeutic successes. Examination of d...
Tribological behaviour of hybrid AMMC sliding against steel and cast iron under MWCNT-Oil lubrication
Abstract The work presented here focused the tribological behaviour of aluminium metal matrix hybrid composites (AMMC) sliding against steel (EN31) and cast iron (CI), under particle laden oilExpand
Lubrication characteristics and wear mechanism mapping for hybrid aluminium metal matrix composite sliding under surfactant functionalized MWCNT-oil
Abstract The friction-wear response of surfactant functionalized MWCNT-in-oil suspension under hybrid aluminium metal matrix composite/EN31 contact is presented. Composites were fabricated,Expand
Classification of drug molecules for oxidative stress signalling pathway.
In humans, oxidative stress is involved in the development of diabetes, cancer, hypertension, Alzheimers' disease, and heart failure. One of the mechanisms in the cellular defence against oxidativeExpand
Influence of Nanoclay on the Thermophysical Properties and Lubricity Characteristics of Mineral Oil
Abstract Heat transfer and lubrication has prime importance for the advancement of turbines, engines as well as metal cutting fluids. In the present study, Nanoclay (NC) is added to mineral oil toExpand
An OpenSim guided tour in machine learning for e-health applications
This chapter provides a quick summary of critical application areas of OpenSim in e-healthcare and how it is related to the neuromusculoskeletal systems. Expand