12^th International ADT Conference

CALL FOR ABSTRACT

Students, researchers, healthcare professionals are invited to submit abstracts of their original and unpublished research/review papers for the 12th International ADT conference from the following thrust areas:

• Track 1 - Innovations in Lab Diagnostics:
  • Biomarkers And Signalling Pathway
  • Precision And Personalized Medicine
  • Diagnostics In Infectious Diseases
  • Diagnostics In Optometry
  • Nano Technology, Bioinformatics and Molecular Biology
  • Immunodiagnostics and Transplant Immunology
  • Digital Pathology
  • In-Vitro Diagnostics
• Track 2 - Advances in Medical Imaging
  • Image Guided Intervention Radiologic Procedures
  • Imaging Modalities in Neuroradiology
  • Challenges In Paediatric Imaging
  • Emerging Technology in Mammography Imaging
  • Radiation Protection Measures in Radiology Imaging
  • Imaging In Oncology
  • Fusion Imaging
• Track 3 - AI and Digital Health Diagnostics
  • E-Health and Mobile Health Diagnostics
  • Wearable Technologies for Health Monitoring
  • Healthcare Applications (Apps)
  • Telemedicine
  • Biosensor Technology
  • Digital Pathology
  • XR, IOT, AR And VR in Healthcare
  • Automation in Laboratory
  • Machine Learning and Deep Learning in Disease Diagnosis
• Track 4 - Integrative Approaches in Disease Diagnosis
  • Integrating Multiple Diagnostic Modalities
  • Cross-Disciplinary Research Models
  • Clinical Decision Support Solutions
  • Ayush Initiatives and Phytomedicine
  • Interdisciplinary Approaches in Diagnostics
  • Molecular Imaging
  • Nutrigenomics And Nutraceuticals
  • Biotechnology and Genetics
  • Infection Control in Post-operative Procedures
  • Infertility Diagnosis and Interventions

Selected abstract will be given an opportunity to be presented as poster or oral presentations based on reviewer committee decision

Selected full length papers will be published in SCOPUS INDEXED/CONFERENCE PROCEEDING/JOURNAL (APC will apply)

PRE-CONFERENCE WORKSHOPS

IADT-2024 endeavours to provide holistic learning experience to its participants through interactive engaging expert sessions, scientific paper presentations, competitive activities and hands on workshops for the students, researchers and budding professionals. IADT 2024 presents a series of preconference workshops catering to various specialisations, led by eminent industry experts. Different hands-on workshops are being organized related to the theme of 12th ADT conference on 14th March 2024 at Chitkara University in Offline mode. All those who are interested in participating are requested to contact the organisers or send email at radt@chitkara.edu.in , mentioning their area of interest along with registration ID for further details by 10th March 2024.

Workshop I: Hands on workshop on "Augmenting nutritional disease diagnosis using machine learning and design thinking"

Resource Persons

Dr. Poonam Khanna, Additional Professor of Nutrition, School of Public Health, PGIMER, Chandigarh.

Dr Rachana Srivastava, Scientist, School of Public Health, PGIMER, Chandigarh.

Mr. Savitesh Kushwaha, Research Associate, School of Public Health, PGIMER, Chandigarh.

Introduction:

The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges in developing the early diagnosis tool and effective treatment. Machine learning (ML), an area of artificial intelligence (AI), enables researchers, physicians, and patients to solve some of these issues. The approaches in machine-learning-based disease diagnosis (MLBDD) are slowly gaining popularity. It includes the use of algorithm, disease types, data type, application, and evaluation metrics.

Objectives:

The workshop would focus on:

• Precision nutrition and current trends of AI in nutrition.
• Planning precision nutrition in Diabetes
• Nutritional Diagnosis using ML: Development and Deployment of Models

Outcomes:

ML learns from the data using various algorithms and is a self-improving process in terms of performance as adjusting during the learning process. ML has been successfully applied to practically every domain such as robotics, education, travel to health care. In the healthcare domain, the ML approaches are mainly used for the purpose of disease diagnosis.

Target Audience: Professionals from industry, faculty members, clinicians, research scholars, and UG/PG students from the field of nutrition and dietetics, public health, nursing and machine learning.

Workshop II: Hands on workshop on "Innovations in diagnostics using machine learning in radiology and imaging technology"

Resource person:

(Prof) Dr. Vinay Kukreja Director (Research), Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab.

Co-resource Person:

Dr. Ayush Dogra, Assistant Director (Research), Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab.

Introduction:

Radiology, centres on the utilisation of imaging modalities to diagnose and treat diseases. It extends beyond mere disease detection, to encompass treatment guidance and ongoing disease management. Expertise in diagnostic modalities such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Ultrasound and X-rays guide immediate clinical interventions, treatment monitoring, and chronicle a visual narrative of a patient’s health. From the discovery of X-rays to the subsequent integration of artificial intelligence (AI) and machine learning (ML), radiology is continually evolving.

Objectives:

This workshop will be targeting audience from radiology background and will provide insights into Machine learning in radiology modalities. This hands-on workshop

• Aims to exemplify from the analysis of observations or data to identify patterns and make informed future decisions based on these observations.
• Provide the basics of machine learning for predicting or classifying data from pre-established outputs of different modalities.

Outcomes:

The future of radiology is guided by the integration of AI and ML. AI algorithms process and interpret data, performing tasks that emulate or even surpass human cognitive capabilities. ML, through exposure to labelled examples, is capable of extracting complex, high-level data, even from unlabelled datasets.

Target Audience:

Professionals from industry, faculty members, clinicians, research scholars, and UG/PG students from the field of radiology and imaging technology and AI.

Workshop III: Hands on workshop on "Applications of real-time PCR for Research and Development in Clinical laboratory Diagnostics"

Resource Person:: Mr. S Shirish Kumar, Manager - Sales Applications, QIAGEN India Pvt. Ltd.

Facilitator: Mr. Anurag Kanwal. Accounts manager (Chandigarh) QIAGEN India Pvt. Ltd.

Introduction:

The polymerase chain reaction (PCR) has become one of the most important tools in molecular diagnostics, providing exquisite sensitivity and specificity for detection of nucleic acid targets. Real‐time monitoring of PCR has simplified and accelerated PCR laboratory procedures and has increased information obtained from specimens including routine quantification and differentiation of amplification products. Clinical diagnostic applications and uses of real‐time PCR are growing exponentially and real‐time PCR is rapidly replacing traditional PCR.

Objectives:

The Handson workshop would include:

• Isolation of DNA from blood and tissue
• Step by step protocol for real time PCR (hands on)
• Interpretation of CT value
• Importance of real time PCR in Disease diagnosis

Outcomes:

Real‐time PCR is rapidly becoming the ‘‘gold standard’’ of nucleic acid sequence detection and quantification. The strengths of this technology are manifold: ease and speed of assay execution for large batches of samples; highest sensitivity (single targets can be detected in a 1012‐fold excess of unrelated nucleic acids); wide dynamic range (at least six orders of magnitude) of detection and quantification with a linear relation between log target to detection threshold cycle; highest specificity approaching 100% in well-designed assays with hybridization probes; and differentiation of detected nucleic acid sequences. These advantages ensure that real‐time PCR will continue to replace ever more diagnostic assays in the clinical laboratory.

Target Audience:

Professionals from industry, faculty members, clinicians, research scholars and UG/PG students from the field of medical laboratory sciences, life sciences, infection control etc.