A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry

2017 ◽  
Vol 19 (1) ◽  
pp. 127-139 ◽  
Author(s):  
Jun Li ◽  
Eric M. Simmons ◽  
Martin D. Eastgate
Keyword(s):  
Pharmaceutical Industry ◽  
Real World ◽  
Predictive Analytics ◽  
Prior Experience ◽  
Data Driven ◽  
Synthetic Route ◽  
Real World Data ◽  
World Data ◽  
Synthetic Routes

A predictive analytics approach to understanding process mass intensity (PMI) is described. This method leverages real-world data to predict probable PMI outcomes for a potential synthetic route and to compare PMI outcomes to the summation of prior experience.

scholarly journals Italian multiple sclerosis register as the basis for post-authorization safety studies

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Ponzio ◽  
M Trojano ◽  
M Capobianco ◽  
M Pugliatti ◽  
M Ulivelli ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Pharmaceutical Industry ◽  
Real World ◽  
Treatment Effectiveness ◽  
Patient Registries ◽  
Real World Data ◽  
World Data ◽  
Disease Modifying Therapy ◽  
Disease Modifying

Abstract While the safety and efficacy of Disease Modifying Therapy (DMT) in multiple sclerosis (MS) are assessed in clinical trials, these are of relatively short duration and always confined to highly selected patient groups. The evaluation of real-world data such as patient registries, is vital as it offers long-term data collection and is patient rather than product-focused during the lifetime of MS, and allows to document a patient's treatment history throughout the disease course. Patient registries can play an important role in monitoring the safety of drus. Regulators and the pharmaceutical industry have shown interest in complementing or even replacing phase 4 clinical studies with data from MS registries. The Italian MS Register (IMSR), in collaboration with the Big MS Data initiative, that also includes the national MS registries of Denmark, France, and Sweden and the international database network MSBase, came together with industry to conduct studies on post-authorization safety (PASS) and treatment effectiveness. The IMSR includes the clinical history of approximately 55,000 patients, or approximatively 45% of the estimated cases of MS in Italy. More than 10,000 patients have a follow-up duration of over 10 years. A Core Protocol outlining principles of PASS projects was created in which aggregated results made available to sponsors and health authorities. The Core Protocol specifies variables, emphasizes improved capture of adverse events, in particular cancer, non-melanoma skin cancers and immunosuppression-related infections, all MedDRA-coded. EUROCAT codes for pregnancy outcomes are also documented. Regulators, the pharmaceutical industry and national-level registries have jointly identified a format of collaboration on PASS for DMT in MS to benefit patients and the larger society. In this way, we hope to contribute to a framework that will include emerging and existing registries with the common goal of contributing to the advancement of knowledge in MS. Key messages The real-world data can contribute to understanding of the impact of disease-modifying therapy on long term. A format of collaboration among clinical research, regulators and pharmaceutical industry could be a winning framework to improve the knowledge on safety and treatment effectiveness in MS.

scholarly journals Finding treatment-resistant depression in real-world data: How a data-driven approach compares with expert-based heuristics

2017 ◽  
Vol 35 (3) ◽  
pp. 220-228 ◽  
Author(s):  
M. Soledad Cepeda ◽  
Jenna Reps ◽  
Daniel Fife ◽  
Clair Blacketer ◽  
Paul Stang ◽  
...  
Keyword(s):  
Real World ◽  
Data Driven ◽  
Treatment Resistant Depression ◽  
Treatment Resistant ◽  
Real World Data ◽  
World Data ◽  
Data Driven Approach ◽  
Resistant Depression

scholarly journals P09.14 Predictive Analytics in Real-World Data from Peru: The New Models for Personalized Oncology

2021 ◽  
Vol 16 (3) ◽  
pp. S294
Author(s):  
L. Pino ◽  
I. Triana ◽  
J. Mejia ◽  
M. Camelo ◽  
M. Galvez-Nino ◽  
...  
Keyword(s):  
Real World ◽  
Predictive Analytics ◽  
Real World Data ◽  
World Data ◽  
New Models ◽  
Personalized Oncology

Abstract #946: Assessment of Acromegaly Patients with and Without Diabetes Treated with Lanreotide Depot: 2-Year Real World Data

2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data
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