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Automatic smart health care system to prevent and detect all types of Liver disease and all types of cancer and diagnose at early stage using Artificial Intelligence, cloud computing, image processing and Deep learning algorithms

Santhosh Kumar Rajamani, Milan Kumar Sahoo, Rekha P, D.V.Rajkumar, Anandan.D shanthianandan2012@gmail.com, Rajan Prasad Tripathi, K S Senthil Kumar, Sharad Timaji Tajane, K. Nagaiah, Krishna Reddy Papana
2022 figshare.com  

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Microglial receptors CD14, CD36, and CD47, and TLRs, may all be able to detect Aß oligomers and fibrils. The neurodegenerative process begins when Aß binds to either CD36 or TLR4,setting off an inflammatory cascade of chemokines and cytokines. TLR4 has been implicated in type 2 diabetes and Alzheimer's disease as of late. Several diabetes-related clinical problems, as well as changes in the body's internal environment and the brain's microenvironment, have been connected to TLR4 activation.
more » ... ical trials have demonstrated that TLR4 inhibitors not only decrease the likelihood of getting sick but also increase life expectancy. Molecular docking and molecular dynamics modelling were used to examine the effectiveness of antidiabetic drugs against the TLR4 receptor. Parlodel's primary interactions were anticipated with the help of molecular docking investigations. With a binding affinity of -9.6 kcal/mol, it was the most promising of the candidates. The interaction pattern between Parlodel and the TLR4 receptor was verified by running a molecular dynamic simulation at a time scale of 50 nanoseconds. By making substantial contact with the active site, Parlodel ensured the complex's structural integrity was maintained throughout its rapid expansion. In light of these findings, further research into Parlodel's potential as a lead drug for TLR4 receptors is warranted. Accompanied Drawing.
doi:10.6084/m9.figshare.21257610.v1 fatcat:t2zp2vy5cbeh7pyyzcqzubqcsi
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Santhosh Kumar Rajamani, Milan Kumar Sahoo, Rekha P, D.V.Rajkumar, Anandan.D shanthianandan2012@gmail.com, Rajan Prasad Tripathi, K S Senthil Kumar, Sharad Timaji Tajane, K. Nagaiah, Krishna Reddy Papana. "Automatic smart health care system to prevent and detect all types of Liver disease and all types of cancer and diagnose at early stage using Artificial Intelligence, cloud computing, image processing and Deep learning algorithms." figshare.com (2022)