Dublin, Oct. 03, 2023 (GLOBE NEWSWIRE) -- ResearchAndMarkets.com proudly announces the addition of the "Next-Gen Digital Pathology Conference" to its extensive list of offerings, set to take place on 19th-20th October 2023.
As digital pathology emerges as a significant technology in recent years, this conference emerges as a pivotal meeting ground for experts and enthusiasts alike, emphasizing education, tissue-based research, medication development, and human pathology practice.
Conference Highlights:
- The two-day event promises insightful discussions into slide-free imaging, enterprise-wide solutions, machine learning, and AI algorithms that are changing the face of diagnoses and treatments.
- Attendees can look forward to informative sessions on topics like computational pathology & cloud computing, digital pathology's role in clinical decision making, and the latest advancements in imaging technologies.
- Key industry figures will lead enlightening presentations, including Dr. Aneesh Acharya from Molecular Instruments, Inc and Carl Barrett from AstraZeneca.
- Other highlights include innovative research displays, sessions on AI's role in drug discovery, and workshops centered on ensuring quality in digital pathology.
Agenda Sneak Peek:
- Day 1 (19th Oct) focuses on the strategic aspects, challenges, and scopes of digital pathology with keynotes on the future developments and implications of the technology.
- Day 2 (20th Oct) delves into computational pathology, AI's influence on imaging and digital image analysis, and an in-depth look at how digital pathology and AI are revolutionizing pathology labs.
Prominent Speakers:
- Anil Parwani, Director of Pathology Informatics, The Ohio State University.
- Sunil Singhal, Chief of Digital Pathology Transformation, Baylor College of Medicine.
- Shoh Asano, Principal Scientist Microscopy and Image Analysis, Pfizer.
- Carl Barrett, VP, Translational Science, Oncology, AstraZeneca.
- And many other esteemed professionals.
Who Should Join?
- Pharma professionals including CEOs, COOs, senior scientists, research scientists, and managers.
- Academic leaders like professors, researchers, and deans from top universities.
- Healthcare professionals from hospitals and their pathology, diagnostics, and hematology departments.
- Laboratories' pathologists, managers, directors, and technicians.
Why Attend? Engage in expert-led discussions, get familiarized with the latest tech implementations in the industry, and discover sustainable solutions through workshops and interactive panels. Moreover, the Young Researchers Forum presents a unique chance to witness the future pioneers of the industry.
Agenda:
Day 1 Thu, 19-Oct-2023
- Keynote Presentation - "Benefits, Future Developments, and Implications of Digital Pathology"
DIGITAL PATHOLOGY - STRATEGY, CHALLENGES AND SCOPE
- The current landscape of digital pathology
- HCRT Imaging: Modern tools built for mission-critical workflows
- Dr. Aneesh Acharya, Vice President of Commercial, Molecular Instruments, Inc
- EU landscape with respect to GDP and how does it impact
- Solution Provider Presentation
- What is digital pathology in artificial intelligence research space?
- Advancing preclinical and diagnostic pathology with AI
ROLE OF PHARMA IN DIGITAL PATHOLOGY
- Use of digital pathology in artificial intelligence for prediction and for better patient identification for appropriate treatment
- Digital Pathology & AI in Drug Discovery
- Digital pathology in toxicology pathology
- Analyzing the Business Case for Digital Pathology
- Closing Remarks from the Chairperson
Day 2 Fri, 20-Oct-2023
- Keynote Presentation - "A practical overview of the Use of digital pathology and artificial intelligence by pathology labs"
COMPUTATIONAL PATHOLOGY
- Understanding and Integrating Computational Pathology
- Computational Pathology: The next revolution in cancer diagnosis
- Carl Barrett, VP, Translational Science, Oncology, AstraZeneca
- Predictive models based on machine learning and AI
- Cloud Computing/Storage Solutions -
AI FOR IMAGING AND DIGITAL IMAGE ANALYSIS
- Advantages of a Large-Scale Clinical Workflow Together with a Pharma Research Data Repository
- Sunil Singhal, Chief of Digital Pathology Transformation, Baylor College of Medicine
- Identification and validation of a pro-fibrogenic macrophage population using cyclic immunofluorescence imaging
- Shoh Asano, Principal Scientist Microscopy and Image Analysis, Pfizer
- Overcoming Challenges in Image Analysis
- Research and applications of artificial intelligence in quantitative image analysis
- Pattern recognition and image analysis- manually and fully automated
- Closing Remarks from the Chairperson
For more information about this conference visit https://www.researchandmarkets.com/r/5spsfb
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