Trends, challenges, and success factors in pharmaceutical portfolio management: cognitive biases in decision-making and their mitigating measures

L Bieske, M Zinner, F Dahlhausen, H Trübel - Drug Discovery Today, 2023 - Elsevier
Effective portfolio management is crucial for innovation and sustaining revenue in
pharmaceutical companies. This article holistically reviews trends, challenges, and …

How to leverage the impact of firm-specific uncertainty on innovation performance? Moderating effects of alliance stage and partner type in the pharmaceutical …

H Jung, J Hwang, E Kim - Journal of Engineering and Technology …, 2023 - Elsevier
This study investigates the impact of firm-specific uncertainty on innovation performance and
how alliances moderate this relationship in the pharmaceutical industry. To reflect drug …

[HTML][HTML] A binary decision tree approach for pharmaceutical project portfolio management

M Farid, M Palmblad, H Hallman, J Vänngård - Decision Analytics Journal, 2023 - Elsevier
In pharmaceutical R&D, decision makers face a large portion of uncertainty in portfolio
decisions. Existing optimization tools are mostly based on expected values, ignoring …

[HTML][HTML] Stacking machine learning model for the assessment of R&D product's readiness and method for its cost estimation

N Chukhray, N Shakhovska, O Mrykhina, L Lisovska… - Mathematics, 2022 - mdpi.com
The modern technology universities have the necessary resource and material base for
developing and transferring R&D products. However, the cost estimation process is not …

[HTML][HTML] Comparative Study on Low-Carbon Strategy and Government Subsidy Model of Pharmaceutical Supply Chain

Y Wen, L Liu - Sustainability, 2023 - mdpi.com
Despite the growing urgency to curb carbon emissions worldwide, the healthcare industry,
particularly the pharmaceutical industry, has received little attention from the sustainability …

Artificial Intelligence and Machine Learning‐Based Formulation and Process Development for Drug Products

VP Chavda - Bioinformatics Tools for Pharmaceutical Drug …, 2023 - Wiley Online Library
Artificial intelligence (AI) and machine learning (ML) are constantly evolving techniques that
may provide intriguing answers to hard scientific problems. There are some promising …

TÜRKİYE'DE SAĞLIK İŞLETMELERİNDE TIBBI CİHAZ TEDARİK SÜRECİNDE KARŞILAŞILAN RİSKLERİN AHP YÖNTEMİ İLE BELİRLENMESİ

Y Uslu, B Sevim, S Aygün, S Onaran… - … Sağlık Yönetimi ve …, 2024 - dergipark.org.tr
Tıbbi cihazların satın alınmasıyla ilgili kararlar birçok riskin göz önünde bulundurulması
gereken ve etkin yönetim gerektiren bir süreçtir. Bu çalışma ile tıbbi cihaz tedarik …

Optimization techniques in pharmaceutical formulation and processing

I Tomuta, A Porfire, S Iurian, T Casian - Dosage Forms, Formulation …, 2024 - Elsevier
Finding the optimal composition and establishing the optimal processing conditions
represent the main objectives during the pharmaceutical development of new drug products …

New compound real option pricing method with Lévy processes for the quality-by-design pharmaceutical R&D

OE Kudryavtsev, E Trushin - Available at SSRN 4650638, 2023 - papers.ssrn.com
We present a new generation of the compound real option pricing model with the quality-by-
design methodology to evaluate multistage R&D projects under multiple pharmacology …

Quality by Design in Formulation Development

C Benetti, AA Benetti - Introduction to Quality by Design (QbD) From …, 2024 - Springer
Abstract Formulation development moved to Quality-by-Design in recent years under the
aegis of the FDA. Quality-by-Design allow manufacturers to build the quality into the process …