TY  - JOUR
AB  - Life science research and life sciences' industries are facing an overwhelming complexity of biology. Today's scientific methods and technologies allow for a very detailed look at biology. What is left to do, is understanding and interpretation. Quantitative biology, the close coupling of life sciences, mathematics, and statistics is likely to provide the methodologies to turn collected data into dedicated information and knowledge. The most promising approach is the formulation of mathematical models on the basis of machine learning. The predictive power of such an approach is a promising option for basic biological research, medicine, pharmacology, agricultural science, and ecology. Furthermore, also R&D of related life sciences industries can take advantage of this digital approach to meet future challenges and market requirements. Quantitative biology plays the role of an enabling technology.
AU  - Wallmeier, Holger
DA  - 2018
DO  - 10.17879/38129708916
LA  - eng
IS  - Journal of Business Chemistry
M2  - 78
N1  - Section "Practitioner’s Section"
PY  - 2018
SP  - 78-92
T2  - Journal of Business Chemistry
TI  - Quantitative biology – a perspective for the life sciences' way into the future
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:6-38129709089
Y2  - 2024-11-22T00:39:45
ER  -