EinNel Technologies presents a webinar on Android Programming
Date: 13th & 14th August, 2020
Time: 10:00 a.m. to 12:00 p.m. IST
Speaker:
Karthikeyan, ME - Senior Android Developer, EinNel
EinNel Technologies presents a webinar on Introduction to Python Programming for ML Engineers
Date: 14th & 15th July, 2020
Time: 10:00 a.m. to 12:00 p.m. IST
Speakers:
Nelson Joseph - Co-founder & CTO, EinNel Technologies
Akash- Manager, IoT & AI
EinNel Technologies presents a webinar on RPA & AI Digital workforce solution for Industries
Date: 30th July, 2020
Time: 10:00 a.m. to 12:00 p.m. IST
Speakers:
Albert Einstein - Founder & CEO, EinNel Technologies
Akash- Manager, IoT & AI
Rajalakshmi- Lead, IoT & AI
EinNel Technologies invites Automotive CAE engineers for a webinar on
BIW Synthesis using data-driven approach
Date: 29th & 30th June, 2020
Time: 10:00 a.m. to 12:30 p.m. IST
Speakers:
Einstein - CEO, EinNel Technologies
John - Manager, Automotive Engineering (Virtual)
Joseph - Manager, Automotive Engineering (Virtual)
EinNext presents a webinar on "In Silico Antibody Engineering techniques used in biopharma drug development"
Date: 4th & 5th July , 2020
Time: 10:00 a.m. to 12:30 p.m. IST
Speakers:
Dr. Nataraj Balakrishnan – Head R&D, EinNext Biosciences
Dr. N. Dhatchana Moorthy – Sr. Research Scientist, EinNext Biosciences
EinNext AI Powered Biosciences is a life science start-up company mainly focus on computational approaches in biomolecules and biomedical engineering. EinNext is governed by the scientists who have a past work experience of more than fifteen years in drug discovery and biotech industries.
Antibody format of the drug is currently one of the principal therapeutic options used to cure a wide variety of diseases for which there is no solution exist through traditional small molecules based drugs.
Specifically, it has a remarkable application to cure autoimmune diseases and advanced-stage cancer. Modification of amino acid bases is one of the ways to engineer antibody to develop the antibody as an efficient drug realized in terms of high efficacy, low side effects, and reduced-price for making it as a workable drug to cure diseases. In this seminar cum workshop, we discuss in silico based antibody engineering with real-time case studies using statistical package R.
