2016 Biomax Symposium: Bringing Big and Complex Data into Clinical Practice

Biomax Informatics AG24 June 2016, Martinsried, Germany.
Biomax announces the 2016 Biomax Symposium on "Bringing Big and Complex Data into Clinical Practice" that will take place in Martinsried (near Munich), Germany. This year's Biomax Symposium focuses on how clinical practice and patient treatment can benefit from big and complex data. It will cover the challenges and requirements that need to be addressed in a clinical setting: from gathering big data, guaranteeing data security in daily practice and fostering feedback between complex clinical data and research, to learning from the data to make better treatment decisions. In a nutshell, the symposium will cover using big and complex data to treat the individual with the knowledge of all.

Biomax has hosted this biennial event since 2012 to facilitate the discussion between clinical management and practitioners, pharma, "Big Data" researchers, health insurance payers, public health and government representatives, funding providers, as well as patient representatives. Through the symposium Biomax hopes to share their own and other experiences in implementing such programs. Past symposia have been a popular forum for these important players to learn from each other and discuss the way forward.

Invited speakers and panel discussion participants are leaders from clinical research, healthcare organizations, international research projects and government. The opening session includes presentations by:

  • Prof. Dr. Emiel Wouters, Department of Respiratory Medicine, University Medical Centre, Maastricht
  • Henning Schneider, CIO at the University Medical Center Hamburg-Eppendorf
  • Prof. Dr. Hans-Werner Mewes, School of Life Sciences, Technische Universität München

The symposium is free of charge.

For further information and to register, please visit:
http://www.biomax.com/symposiums/biomax-symposium-2016/

About Biomax
Biomax Informatics AG is a leader in the development of computational solutions for the life sciences. Biomax provides the BioXM™ Knowledge Management Environment and other computational solutions, including the Viscovery® data-mining technology, for better decision making and knowledge management in biomarker identification, patient stratification and targeted medicine. They help customers generate value by integrating information from proprietary and public resources to enable a knowledge-based approach to developing innovative life science products. Biomax’s worldwide customer community includes medical clinics, research organizations and companies that are successful in drug discovery, diagnostics, fine chemicals, food and plant production and healthcare.

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Two Artificial Intelligences Talk to Eac…

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...