SAGA expands with four new team members to further accelerate commercial and medical development
LUND, Sweden — /November 7, 2019/ — SAGA Diagnostics AB, a cancer liquid biopsy and genomic testing company focused on precision oncology and non-invasive ultrasensitive monitoring of cancer patients, today announces the appointment of four people to significantly strengthen SAGA’s team: Annina Hube, PhD MBA, as Director of Market Access, Rocco Crescenzo, MD as Chief Medical Officer, and Maria Fe Paz, MD PhD MBA and Florian Eckhardt, PhD MBA as Strategic Advisors.
Dr. Hube brings an in-depth knowledge from both the regulatory and market aspects of IVDs, especially in the NGS and liquid biopsy fields. Prior to joining SAGA, Annina served in BD, supply chain, logistics, and marketing roles for four years at NEO New Oncology GmbH. Previously, Annina has also held senior marketing positions at both Abcam in Cambridge, UK, and Vela Diagnostics in Hamburg, Germany.Her main responsibility at SAGA will be to direct the market access activities in the European market.
We are extremely pleased to add such strength to our fast-growing team. Annina, Rocco, Maria, and Florian join at just the right moment, with expertise and experience that are instrumental for our ambitious expansion plans in this next phase of SAGA.
Lao Saal, co-founder and CEO, SAGA Diagnostics
Contact: CEO Lao Saal, MD PhD. firstname.lastname@example.org Phone: +46 (0) 733 01 7242
About SAGA Diagnostics AB
SAGA Diagnostics is a personalized cancer genomics and disease monitoring company that offers molecular genetic testing of tissue biopsies and non-invasive “liquid biopsies” such as blood samples. SAGA helps pharmaceutical companies, scientists, and healthcare providers to detect actionable mutations, stratify patient groups, and monitor treatment response more accurately and to an industry-leading lower limit of detection of 0.001%. Analysis of circulating tumor DNA using these proprietary technologies gives SAGA unique ultrasensitivity, and provides the basis for optimal decision-making.