From AI to Slide-Free Imaging: The 2023 Next-Gen Digital Pathology Conference Sheds Light on Medicine's Future (Boston, United States - October 19-20th, 2023)

DUBLIN, Sept. 29, 2023 /PRNewswire/ -- 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/mrblyz

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