In this study a new computerized approach and linear models (LMs) to solve the UV/vis spectroscopy interference effects of beta-carotene with lycopene analysis by neural networks (NNs) are considered. The data collected (absorbance values) obtained by UV/vis spectrophotometry were transferred into an NN-trained computer for modeling and prediction of output. Such an integrated NN/UV/vis spectroscopy approach is capable of estimating beta-carotene and lycopene concentrations with a mean prediction error 50 times lower than that calculated by the LM/UV/vis spectroscopy approach (without any previous physicochemical knowledge of the process to be modeled).

Aim: To describe the overall cancer-related healthcare utilization patterns, treatment patterns and outcomes in women diagnosed with platinum-sensitive recurrent high-grade serous ovarian cancer. Patients & methods: Subanalysis of the Spanish sample of a retrospective, noninterventional, multinational, observational study. Results: BRCA-mutated patients had better outcomes in terms of progression-free survival and overall survival than patients who were BRCA wild-type. It was observed that patients’ treatment outcomes after the first recurrence progressively worsened as the patient underwent subsequent chemotherapy lines. Healthcare resource utilization when accounting for the follow-up time did not substantially differ between BRCA1/ 2-mutated and BRCA wild-type patients. Conclusion: BRCA1/2 mutation carriers have better treatment outcomes, including longer survival, without a negative impact on the use of healthcare resources.

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