Track Categories

The track category is the heading under which your abstract will be reviewed and later published in the conference printed matters if accepted. During the submission process, you will be asked to select one track category for your abstract.

Digital pathology is a lively, image-based environment that enables the procurement, supervision and interpretation of pathology information generated from a digitized glass slide. Digital imaging today signifies more of an evolution than a revolution in pathology. With the advent of clinical trials (e.g. teleconferencing), pathologists today are beginning to interrelate more with each other. However, more incorporation of digital photo frame with computer systems is desirable, as well as standards for the entire digital imaging process.

Digital pathology is a vast area of science which include Hematopathology, Telepathology, Radiopathology, Digital Pathology on Bio banking and Clinical Trials, Computational Pathology.

  • Track 1-13D imaging
  • Track 1-2Teleconsultation
  • Track 1-3Integration with LIMS/LIS
  • Track 1-4tumor pathology
  • Track 1-5Renal pathology
  • Track 1-6Whole Slide Image Storage
  • Track 1-7Comparative Effectiveness Research (CER)
  • Track 1-8Human Computer Interaction and Evaluation
  • Track 1-9Pharmacoepidemiology
  • Track 1-10Telemedicine and public health
  • Track 1-11Prenatal DNA Sequencing
  • Track 1-12Hematopathology
  • Track 1-13Telepathology
  • Track 1-14Radiopathology
  • Track 1-15Digital Pathology on Biobanking and Clinical Trials
  • Track 1-16Computational Pathology
  • Track 1-17Ex Vivo Applications of IVM
  • Track 1-18Optical Coherence Tomography
  • Track 1-19Whole Slide Imaging (WSI)
  • Track 1-20Telemedicine
  • Track 1-21E-learning and pathology
  • Track 1-22Data mining
  • Track 1-23Models in pathology
  • Track 1-24Telediagnosis

Digital pathology can be well-thought-out as an aide to traditional microscopy. In traditional microscopy, we entail a microscope to sight the glass slide. We can only view one slide, one field of view, and one embellishment at a time. If we want to do any sort of analysis with a microscope, we must remember the information from each field of view. In Digital Pathology, we have the advantage of doing things in different way. We can view some digital slides on a computer monitor.

In case of traditional microscopy, if we want to share data with someone at a distant place, the slide has to be mailed. But with digital pathology, we can share the data with anyone in the world directly.

  • Track 2-1Traditional microscopy
  • Track 2-2Virtual Microscopy
  • Track 2-3Digital slides

Medical imaging is a technique and process of generating visual depictions of interior body for clinical analysis and medical intervention, medical imaging institutes a sub-discipline of biomedical engineering, medical physics or medicine depending on the context: Research and development in the area of instrumentation, image procurement (e.g. Radiography), modeling and measurement are usually the preserve of biomedical engineering.

Digital Imaging methods  are part of biological imaging and includes radiology which uses the imaging technologies of X-ray radiography, magnetic resonance imaging, medical ultrasonography or ultrasound, endoscopy, elastography, tactile imaging, thermography, medical photography and nuclear medicine functional imaging procedures as positron emission tomography (PET) and Single-photon emission computed tomography (SPECT).

  • Track 3-1X-RAY
  • Track 3-2Ultrasound
  • Track 3-3Magnetic Resonance Imaging
  • Track 3-4Echocardiography
  • Track 3-5Position emission tomography
  • Track 3-6Tactile imaging
  • Track 3-7Photoacoustic imaging
  • Track 3-8Conventional Radiography
  • Track 3-9Tomography
  • Track 3-10Computed Tomography

Digital imaging bids many benefits over conventional film-based imaging, the most convincing of which is the ability to store, repossess, allocate and review images at any time and in any location, which is aptly networked. This means that the mentioning physician, the patient and the radiologist can all be in different sites, both to one another and to the stored image, but still communicate efficiently. Digital image analysis include Computer aided diagnoses, 3D imaging, Biomarker analysis.

  • Track 4-1Digital image analysis in drug discovery
  • Track 4-2Computer aided diagnoses
  • Track 4-3virtual microscopy and digital image analysis
  • Track 4-4Image registration
  • Track 4-5Image quality and scanning speed
  • Track 4-6Visualization methods for diagnosis and prognosis
  • Track 4-7Image Processing and pattern recognition
  • Track 4-8Biomarker analysis

Telepathology is the practice of pathology at remoteness. It practices telecommunications technology to ease the transfer of image-rich pathology data between distant sites for the purposes of analysis, edification, and clinical research.

Telepathology has been efficaciously used for many bids, including the rendering of histopathology tissue analyses at a distance, Remote robotic microscopy, Forensic Pathology, Teleconferencing. Although digital pathology imaging, including virtual microscopy, is the mode of choice for telepathology services in developed countries, analog telepathology imaging is still used for patient amenities in some developing countries.

  • Track 5-1Digital microscopy
  • Track 5-2Remote robotic microscopy
  • Track 5-3Teleconferencing
  • Track 5-4Video microscopy
  • Track 5-5Web conferencing
  • Track 5-6Virtual Microscopy
  • Track 5-7Telemicroscopy
  • Track 5-8Teleconsultation

Virtual microscopy and developments in machine learning have surfaced the way for the ever-expanding field of digital pathology. Multiple image-based computing settings capable of performing automated reckonable and morphological analyses are the groundwork on which digital pathology is built. The bids for digital pathology include Tissue-based imaging, Biomarker research and Biobanking in the clinical background are numerous and are discovered along with the digital software environments themselves, as well as the different analytical modalities precise to digital pathology.

  • Track 6-1Clinical trials support
  • Track 6-2Next generation sequencing
  • Track 6-3Biomarker research
  • Track 6-4Tissue-based imaging
  • Track 6-5Biobanking

Pathology informatics is an interdisciplinary information science castigation primarily concerned with the assemblage, cataloging, manipulation, data storage, recovery and propagation of data to solve problems in pathology. Informatics studies the depiction, processing, and communication of information in Cloud computing, Access through mobile devices, Pathology PACS, Pathology IT and Incorporation with LIMS/LIS natural and engineered systems. It has the facet of computational pathology, cognitive pathology and social pathology.

Pathology Informatics emphases on the management and analysis of clinical and research pathology data using modern computing, communications and digital imaging techniques.

  • Track 7-1Cloud computing
  • Track 7-2Access through mobile devices
  • Track 7-3Pathology PACS
  • Track 7-4Pathology IT
  • Track 7-5Integration with LIMS/LIS

Diagnostic Pathology is a branch deals with examination of body tissues and their examination. Microscopical learning of abnormal tissue development, disease determination, histopathology of lesions and sometimes post-mortem. It does investigation on critical verdict in surgical pathology.

It is exhilarating to consider the potential that the uprising in genomics, proteomics, and computational biology will have on the future of diagnostic pathology and laboratory medicine.

  • Track 8-1Organ resection
  • Track 8-2Biopsies
  • Track 8-3Tumor pathology
  • Track 8-4Renal pathology
  • Track 8-5Exfoliate and fluid cytology
  • Track 8-6Immunophenotyping markers

Biomedical engineering (BME) is the bid of engineering ideologies and design concepts to medicine and biology for healthcare tenacities (e.g. diagnostic or therapeutic).

Protruding biomedical engineering bids include the expansion of biocompatible prostheses, various diagnostic and therapeutic medical devices like MRIs and EEGs, cardio vascular surgical devices, ranging from clinical equipment to micro-implants, communal imaging equipment such as MRIs and EEGs, regenerative tissue growth, pharmaceutical drugs and therapeutic biological.

  • Track 9-1Biochips
  • Track 9-2Biosensor Devices
  • Track 9-3Tissue Engineering
  • Track 9-4Photonic sensing
  • Track 9-5Data mining in drug discovery
  • Track 9-6Optical lithography

Image Analysis software delivers easy-to-use solutions for the automated quantitative evaluation of bright field and fluorescent slides. Powerful image analysis software solutions combined with an intuitive interface enables users to easily tailor algorithms to their own specific needs.

  • Track 10-1Whole Slide Imaging (WSI)
  • Track 10-2Image Analysis Software
  • Track 10-3Whole Slide Image Storage

Innovative technology is altering digital pathology and has the potential to improve diagnostics in several ways. These comprise refining the integration of data, discussion among experts, and quantitative and qualitative image analysis.

Whole slide imaging (WSI) practices computerized technology to scan and adapt entire pathology glass slides into digital images at high resolution, which are then made available to pathologists. One of the most significant aspects of digitization of slides is the capability to perform image analysis and computer-aided diagnostic tools on WSI.

IHC markers, WSI system, Melanoma Biopsies, Electronic Aspirin, Needle-Free Diabetes Care, Robotic Check-ups, Detecting Lung Cancer with a Cough, Prenatal DNA Sequencing etc.  are the few advance technology in Digital Pathology.

  • Track 11-1IHC markers
  • Track 11-2WSI system
  • Track 11-3Melanoma Biopsies
  • Track 11-4Electronic Aspirin
  • Track 11-5Needle-Free Diabetes Care
  • Track 11-6Robotic Check-ups
  • Track 11-7Detecting Lung Cancer With a Cough
  • Track 11-8Other advances in Digital Pathology

We are existing in an exhilarating time when disease diagnostics and treatment are flattering more accurate and patient specific. Computerized imaging technique are beginning to assist the pathologist and radiologist in making an accurate diagnosis of disease and identify morphological features correlated with prognosis. Molecular profiling of disease promises to help the clinician understand the fundamental biology of the disease and suggest new and more operative therapeutics.

The goal of our research is aimed at a future when disease diagnostics will involve the quantitative integration of multiple sources of diagnostic data analysis , including genomic imaging, proteomic imaging and metabolic data acquired across multiple resolutions that can distinguish between individuals or subtle variations of the same disease to guide therapy.

  • Track 12-1Basal Cell Carcinoma
  • Track 12-2Squamous cell Carcinoma
  • Track 12-3Vitiligo
  • Track 12-4Harmonisation in laboratory medicine
  • Track 12-5MammaPrint test
  • Track 12-6cancer biomarkers
  • Track 12-7Auto loading hematology system
  • Track 12-8In Vivo and Ex Vivo Microscopy

Biomedical Informatics is the field that is concerned with the ideal use of data, often assisted using technology and people, to expand individual health, health care, public health, and biomedical research. Biomedical Informatics is sited with scientific, financial, and regulatory challenges confronted by the healthcare industry to apply technology know-how at every step from design to implementation and to FDA application.

  • Track 13-1Systems Biology and Computational Biology
  • Track 13-2clinical and translational informatics
  • Track 13-3Clinical Predictive Modeling
  • Track 13-4Data-Driven Modeling of Usual Clinical Care
  • Track 13-5Datawarehouses and data mining
  • Track 13-6Dental Informatics and Oral Health Translational Research
  • Track 13-7Federated Data Sharing for Translational Research
  • Track 13-8Genomic and Proteomic Data: Analysis and Data Mining
  • Track 13-9Image Perception Research
  • Track 13-10Natural Language Processing and Deep Phenotyping

Radiology is a field that uses medical imaging to analyze and treat diseases seen in the interior the body. A diversity of imaging techniques such as X-ray radiography, ultrasound, computed tomography (CT), nuclear medicine as well as positron emission tomography (PET), and magnetic resonance imaging (MRI) are used to analyze and/or treat diseases. Interventional radiology is the recital of medical procedures with the guidance of imaging technologies.

As a medical specialty, radiology can denote two sub-fields, diagnostic radiology and therapeutic radiology.

  • Track 14-1Chest-cardiac Imaging
  • Track 14-2GI-GU Imaging
  • Track 14-3Pediatric Imaging
  • Track 14-4Nuclear Medicine
  • Track 14-5Musculoskeletal Imaging
  • Track 14-6Neuro - radiology
  • Track 14-7Breast Imaging

The role of medical informatics in telemedicine is dependent on using the power of the computerized database to not only feed patient specific information to the health care providers, but to use the epidemiology and statistics information in the database to improve decision making and ultimately care. The link of medical informatics with telemedicine permits sophisticated medical informatics systems to be applied in low population density and remote areas.

  • Track 15-1Medical Informatics and Health Information technology
  • Track 15-2Medical Informatics and Informatic Management
  • Track 15-3Medical Informatics and Public Health, Epidemiology
  • Track 15-4Neuroinformatics and behavioural Neurology

Dermatopathology comprises study of the microscopic morphology of skin segments. It reflects pathophysiologic changes happening at the microscopic level in the skin and its appendages. The complete sequencing of the human genome has steered in an era of medical advances and it is due to Human Genome Project (HGP) .that was previously unconceivable. Scientists are repeatedly discovering novel genetic and epigenetic machineries that are linked with human disease states and therapeutic responses. The capability to determine the primary defect in single-gene diseases, many of which are rare, has improved both analysis in symptomatic patients and risk estimate of future disease in asymptomatic individuals.

  • Track 16-1Dermatomyositis
  • Track 16-2Virtual Dermatopathology
  • Track 16-3Reactive Erythemas
  • Track 16-4Eczema
  • Track 16-5Digital Skin Cancer and Screening
  • Track 16-6Psoriasis