Articles
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Dec 9, 2024 |
indibloghub.com | Sanobar Syed
Author: Sanobar Syed, Associate Director, BeigeneIn the increasing uncertainties and volatile market, pharmaceutical companies have to rethink their approach to forecasting in oncology. When projections are misaligned, pharma companies will have to answer shareholders. But when forecasters get it right, manufacturers can optimise resources to fit the opportunity and produce plans that deliver innovative medicines to patients who need them.
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Mar 6, 2024 |
medtechintelligence.com | Sanobar Syed
Forecasting is a vital activity that supports a range of key business decisions across a broad range of stakeholders in pharma and medtech. And it is not just about crunching numbers; it’s about interpreting data effectively and using it to make informed decisions promptly.
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Feb 27, 2024 |
insights.omnia-health.com | Sanobar Syed
The year 2023 has just paved the way for a new future. We have almost fully recovered from the aftermath of the unprecedented pandemic and in the past few years, pharma companies have realised the importance of data. To quote British mathematician and entrepreneur Clive Humby, data is indeed the ‘new oil for pharma companies’ and much more than that.
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Aug 30, 2023 |
insights.omnia-health.com | Sanobar Syed
With the ever-changing cell and gene therapy (CGT) market dynamics, it is increasingly complex to forecast and enable decision-making in the field but the markets in which CGT operates have a solid influence. In a broader market upon which to spread the development costs, such as oncology, where there is usually a larger patient population, therapies can hit a lower price point.
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Aug 2, 2023 |
outsourcedpharma.com | Louis Garguilo |Sanobar Syed |Ruijin Song |Andrew Walsh
By Sanobar Syed, M.Sc., MBA Is reshoring or nearshoring right for your organization? It's important to undertake rigorous internal assessments to arrive at a decision. Here are four key considerations. By Ruijin Song and Andrew Walsh ASTM E3106 emphasizes that cleaning agents and cleaning processes should not be adopted randomly, nor should they be chosen simply based on what has been used in the past.
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