VISION

“To be the Department of Excellence by contributing for achieving proficiency in the field of Management by developing future professionals and entrepreneurs through continuous competency building.”

MISSION

“The Management Department will transform lives and serve society by creating knowledge base, educating and executing knowledge to work with honesty and excellence.”

All Certificate Courses: 30hrs

Department of Biotechnology

Biotechnology is an exciting science and technology field of Research and Innovation for human wellbeing. Vital skills of Biotechnological research have contributed to the society.

Students have the industry and academic linkage from this course

• 1.Artificial Intelligence in Healthcare (Collaborated with IIT Hyderabad):
• 2. Clinical Data Management

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective, reliable and safe AI systems, and discuss the possible future direction of AI augmented healthcare systems complex.

Advanced computing technologies such as artificial intelligence (AI), machine learning (ML) and deep learning (DL) has enabled the healthcare sectors to gain deeper insights from patient data. AI has the ability to successfully process and analyze large variety of data which is far beyond our capacity and has the potential to transform many aspects of patient care. This has led to an increasing demand of big data analytics.

AI is playing an important role in transforming both health and healthcare in and out of clinical setting. It is the future of public health, and acts as a bridge that connects healthcare delivery from a personal level to a system level. Thus, with the help of AI it is possible to support doctors, physicians, administrative staffs as well as customer service representatives by offering them proper assistance, automation of clinical documents, image analysis, disease diagnosis, patient medical history, virtual observation and patient outreach.

This course provides a unique platform formulate-disciplinary knowledge exploration, amalgamation and augmentation of engineering with clinical science.

This course helps the faculty to integrate AI and healthcare to cater the needs of students in pursuit of their urge for knowledge.

CONTENT: AI IN HEALTHCARE

About the course: Artificial intelligence is widely believed to play a transformational role in healthcare, both in primary as well as in the advanced level. By leveraging AI for clinical decision support, risk assessment, and early prediction, developing revolutionary approach along with data analysis healthcare innovation can be both cheaper and faster. Artificial intelligence could help mitigate the impacts of this severe deficit of qualified clinical staff by taking over some of the diagnostic duties typically allocated to humans.

This workshop envisions to bring on the state of the art in this rapidly moving research area to the students, researchers and industry partners and make impact in shaping of future direction.

Who can attend?

Content to be covered:

1. AI and ML Application and Foundation

2. AI for Disease Diagnosis

3. NLP and Data

4. Analytics in Healthcare

5. Interpretability in ML

6. Augumenting Clinical Workflow

7. Integrated Approach to Hospital Management

• 2. Clinical Data Management

Module 1:

1. ClinicalTrialProcess–Preclinicaltesting–INDA–Phase0tophase3–NDA–Phase4/PMS-CTdesign Overview of Terminologies Investigator, PI,Sponsor, Informed Consent, Protocol, Subject etc Overview of Workflow of CDM – Study Start up, Study Conduct and Study Close out

2. Current Industrial/CRO job role of Pharmacy in CT Department (CRC – CRA – Sr CRA – Ass. Manager – Manager), eTMF - Salary and Scope in India

Module 2:

1. Workflow of CDM–Study Startup, Study Conduct and Study Closeout

2. StudySetup: Protocol–CRF design –Data base design –Variation Derivatives/ procedure-UAT-Activated Database Data capture Tools - Electronic form (EDC) and Paper format - Study Design

3. Study conduct process: Activated DB – DE/ Loading CRF (Investigators team will enter) - Discrepancy Management – MedDRA coders – SAE Reconciliation (Comparison between clinical safety database and Safety database) – Query generation - Query Management Site for clarification – Resolution of DB

Current Industrial/CRO job role of Pharmacy in CDM (Jr Asso, Senior Associate, SME, TL, TM). Salary and Scope in India

4. Study Close out Process Review: Study close-out – Refer check list – Coding of all event – External data – All Queries are Resolved – Manual check / QC / CRF Tracking – Investigator CRF - Database locked out - No changes further – Freeze

Overview of Clinical Database (OracleClinical,MedidataRave,Inform)

Overview of Safety Database (ARGUS,ARISg,Clinevo–UsedforCTcasesandPMScaseprocessing

ICH guidelines (Q, S, E, M)-ICH–E6GCP

Practical Work flow inIndustries

1. CT case processing in Safety Database – SAE Reports – Drug Safety – AE – Report generation – Submissionto HA

2. DSUR(DevelopmentSafetyupdateReport)

3. Introduction to Med DRADictionary (Basics,Conventions,Specialscenarios,liveexamplescoding) Industrial / MNC – Job Role of Medical coding in PV/CDM/ Medra Coder, C

Department of Physics:

Physics plays an important role in all the natural sciences, however, and all such fields have branches in which physical laws and measurements receive special emphasis, bearing such names as astrophysics, geophysics, biophysics, and even psychophysics.

1.Real World Physics (Collaborated with Center for Physics): Real-world examples of work, energy, and power! Whether you're a student learning about classical mechanics or simply curious about how these concepts apply to our everyday lives. concept in simple terms and provide relatable scenarios to help you grasp their significance.

The aims of a course based on this syllabus should be to:

1 Provide students with an experience that develops their interest in physics and builds the knowledge, skills and attitudes for future studies in related fields.

2.Enable students to become scientifically literate citizens who are well-prepared for the challenges of the 21st century.

3 Develop in students the understanding, skills, ethics and attitudes relevant to the Practices of Science by understanding the nature of scientific knowledge. Demonstrating the ways of thinking and doing. Relating science, technology, society and environment 4 develop in students an understanding that a small number of basic principles and core ideas can be applied to explain, analyse and solve problems in a variety of systems in the physical world.

4.Demonstrating Ways of Thinking and Doing (WOTD) The Ways of Thinking and Doing in Science illustrate a set of established procedures and practices associated with scientific inquiry to gather evidence and test ideas on how the natural world works.

There are three broad, iterative domains of scientific activity: investigating, evaluating and reasoning, and developing explanations and solutions

Understanding the Nature of Scientific Knowledge (NOS)

Relating Science-Technology-Society-Environment (STSE) Science is not done completely independently of the other spheres of human activity. The relationships and connections to these areas are important as students learn science in context.

Applications of science often have ethical, social, economic, and environmental implications.

Applications of new scientific discoveries often drive technology