100 Insights into the Future of Medicine in One Day: European Health Science Match 2016

European Health Science Match 2016 26 September 2016, Ludwigshafen/Rhine, Germany.
Up to 100 distinguished European scientists will present the key findings of their research in pharma, biotech and medicine at the European Health Science Match conference. The speakers have 3 minutes each to present their work and wow the audience.

Speakers come from research-based companies and renowned scientific institutions such as the royal University of Leuven, University of Kopenhagen, University of Tel Aviv, University of Heidelberg, the German Cancer Research Center (DKFZ) and the European Molecular Biology Laboratory (EMBL). The European Health Science Match is a corporation between the Biotech-Cluster Rhein-Neckar (BioRN) and the Tagesspiegel. The conference offers diverse opportunities for networking among the 1000 participants expected - researchers, company representatives, start-ups and young talent expected.

Students, doctoral candidates, scientific assistants, startup-entrepreneurs and young professionals with work experience can apply for a free attendance-scholarship. The places are limited. Apply here until August 26, 2016.

For further information, full conference-programme, registration-options and other relevant information, please visit:
http://science-match.tagesspiegel.de/europeanhealth

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...