0000000000855161
AUTHOR
G. Schaefer
PO-324 Detection of high-risk prostate cancer biomarkers by RNA sequencing and qPCR method
Introduction New prognostic biomarkers for prostate cancer have the potential to overcome the clinical challenge of therapy decision and overtreatment. Present diagnostic and prognostic tests are still limited in specificity resulting in a large number of false positives and unnecessary biopsies. Furthermore, they do not enable a proper stratification between men with a high risk for an aggressive disease course requiring comprehensive therapy scheme after surgery and men with a low risk of disease recurrence cured after prostatectomy or eligible for active surveillance. In particular, patients with Gleason score 6 and 7 tumours (low and mid stage) are difficult to stratify for the appropri…
CFC+: Improved dynamics and gravitational waveforms from relativistic core collapse simulations
Core collapse supernovae are a promising source of detectable gravitational waves. Most of the existing (multidimensional) numerical simulations of core collapse in general relativity have been done using approximations of the Einstein field equations. As recently shown by Dimmelmeier et al (2002a,b), one of the most interesting such approximation is the so-called conformal flatness condition (CFC) of Isenberg, Wilson and Mathews. Building on this previous work we present here new results from numerical simulations of relativistic rotational core collapse in axisymmetry, aiming at improving the dynamics and the gravitational waveforms. The computer code used for these simulations evolves th…