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Diabetes Care: Insulin Management Techniques

CASE DISCUSSION

Diabetes Care: Insulin Management Techniques

India flagPresented India by Dr. Pradeep Kumar Karumanchi

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Case Description

There are various types of insulin, including rapid-acting, short-acting, intermediate-acting, and long-acting, each with different onset and duration of action. Basal-Bolus Regimen  technique involves using both basal (long-acting) and bolus (rapid-acting) insulin to mimic the body's natural...

Case Summary

  • Diabetes is a prevalent metabolic disease in India, characterized by the body's inability to produce sufficient insulin or effectively metabolize glucose. It exists primarily in two main types: Type 1, often genetic and diagnosed in childhood, requiring insulin dependence; and Type 2, linked to lifestyle and diet, which may or may not require insulin. Gestational diabetes occurs during pregnancy, and pre-diabetes is an often neglected yet crucial stage.

Speaker Profile

Dr. Pradeep Kumar Karumanchi

Dr. Pradeep Kumar Karumanchi

Consultant Radiation Oncologist, Yashoda Hospitals, Hyderabad
Dr. Pradeep Kumar Karumanchi is one of the best Radiation Oncologists in Hyderabad with expertise in treating all types of cancers. He has been trained in High Precision Radiotherapy Techniques like Cyberknife, Tomotherapy, SRS, SBRT, VMAT, IGRT, IMRT, TBI and HDR Brachytherapy. He has been trained at prestigious Institutes in India and abroad. He also received specialty training in Urologic Oncology and GI Oncology from world renowned Memorial Sloan-Kettering Cancer Center(MSKCC), USA. He received training in Thoracic Oncology from Univ. of Michigan, USA and Precision Oncology from Univ. de Geneve, Switzerland. He is actively involved in clinical research and has scientific publications in International journals. He believes in the ‘Quality-of-LIfe’ concept and treats patients with special consideration in improving their quality of life. He has special interest in Radiomics and Radio-genomics with Active Precision Oncology Research in the imaging space and the usage of artificial intelligence in prognosticating and predicting the outcomes and side-effects of cancer.

Disclosures

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