The lab visits include transfers
Access to this session depends on the capacity of the room.
Access to this session depends on the capacity of the room.
Access to this session depends on the capacity of the room.
Access to this session depends on the capacity of the room.
Access to this session depends on the capacity of the room.
This highly interactive pre-congress workshop is designed as a practical, small-group, bring-your-own-laptop session for participants who want to use state-of-the-art large language models (LLMs) and AI tools to accelerate scientific writing and research communication. Working directly on their own projects, participants will learn how to move from raw data and research materials to structured outputs such as data analyses, tables, figures, presentation slides, posters, abstracts, and manuscript drafts within a focused 2–3 hour session.
The workshop is intended for active researchers who come prepared with their own project materials, including raw data in spreadsheet format and access to major AI platforms. Participants may bring projects at different stages, including early-stage study plans, partially prepared presentations, or ongoing manuscript drafts. The session will emphasize real-time application, prompt design, workflow integration across multiple AI platforms, and critical human oversight to ensure scientific quality and reliability.
By the end of this workshop, participants will be able to:
Build an efficient multi-tool workflow using leading AI platforms such as ChatGPT, Claude, Gemini/NotebookLM, and Genspark for scientific writing tasks.
Use AI tools to assist with data interpretation, preliminary analysis, and creation of publication-ready tables and figures.
Generate and refine abstracts, manuscript sections, figure legends, titles, and references based on their own project materials.
Convert research content into communication-ready outputs, including PowerPoint slides, scientific posters, and visually improved publication materials.
Apply practical strategies for prompt engineering, quality control, fact-checking, and human review when using AI in academic research.
The workshop is intended for active researchers who come prepared with their own project materials, including raw data in spreadsheet format and access to major AI platforms. Participants may bring projects at different stages, including early-stage study plans, partially prepared presentations, or ongoing manuscript drafts. The session will emphasize real-time application, prompt design, workflow integration across multiple AI platforms, and critical human oversight to ensure scientific quality and reliability.
By the end of this workshop, participants will be able to:
Build an efficient multi-tool workflow using leading AI platforms such as ChatGPT, Claude, Gemini/NotebookLM, and Genspark for scientific writing tasks.
Use AI tools to assist with data interpretation, preliminary analysis, and creation of publication-ready tables and figures.
Generate and refine abstracts, manuscript sections, figure legends, titles, and references based on their own project materials.
Convert research content into communication-ready outputs, including PowerPoint slides, scientific posters, and visually improved publication materials.
Apply practical strategies for prompt engineering, quality control, fact-checking, and human review when using AI in academic research.
Access to this session depends on the capacity of the room.
This is a focused follow-up workshop continuing the discussions and projects initiated at the Karman Conference on Computational Nephropathology in Aachen in 2025. The meeting will concentrate on concrete progress updates and coordinated planning for collaborative work in computational nephropathology.
Clinical roadmap to applied computational nephropathology - Status and current challenges
Technical roadmap update - short review of developments in computational methods, infrastructure and standardization
How do we annotate kidney structures and lesions? Update on project progress and first results. Discussion of next steps.
Joint initiatives: Identification of opportunities for shared projects, challenges and grant applications.
This workshop is designed to be interactive and future‑oriented. It will bring together clinicians, pathologists, data scientists, AI researchers, and technical partners committed to advancing computational nephropathology.
Clinical roadmap to applied computational nephropathology - Status and current challenges
Technical roadmap update - short review of developments in computational methods, infrastructure and standardization
How do we annotate kidney structures and lesions? Update on project progress and first results. Discussion of next steps.
Joint initiatives: Identification of opportunities for shared projects, challenges and grant applications.
This workshop is designed to be interactive and future‑oriented. It will bring together clinicians, pathologists, data scientists, AI researchers, and technical partners committed to advancing computational nephropathology.
Every pathological case begins with macroscopic examination. The camera is the tool; innovative software opens up new possibilities to share (stream) each case in real-time, to comprehensively document it and to integrate it into Image Management Systems (IMS) – all in DICOM standard. This session is not a lecture but focuses on practical application. All participants can actively work with PathoZoom LiveView Macro.
With presentation by:
Dra. Johanna Palacios Ball, University Hospital Burgos, Burgos, Spain
With presentation by:
Dra. Johanna Palacios Ball, University Hospital Burgos, Burgos, Spain