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Artificial Intelligence
Application of data-intelligence algorithms for modeling the compaction performance of new…
Pharmaceutical excipient development is an extensive process requiring a series of pre-formulation studies to evaluate their performance. The present study compares the conventional compaction and compression pre-formulation studies with artificial intelligence (AI) modeling to predict the…
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Automation and data-driven design of polymer therapeutics
Polymers are uniquely suited for drug delivery and biomaterials applications due to tunable structural parameters such as length, composition, architecture, and valency. To facilitate designs, researchers may explore combinatorial libraries in a high throughput fashion to correlate structure to…
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Image-Based Artificial Intelligence Methods for Product Control of Tablet Coating Quality
Mimicking the human decision-making process is challenging. Especially, many process control situations during the manufacturing of pharmaceuticals are based on visual observations and related experience-based actions. The aim of the present work was to investigate the use of image analysis to…
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M3DISEEN: A Novel Machine Learning Approach for Predicting the 3D Printability of Medicines
Artificial intelligence (AI) has the potential to reshape pharmaceutical formulation development through its ability to analyze and continuously monitor large datasets. Fused deposition modeling (FDM) 3-dimensional printing (3DP) has made significant advancements in the field of oral drug delivery…
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Characterization of Controlled Release Microspheres Using FIB-SEM and Image-Based Release Prediction
For polymer-based controlled release drug products (e.g. microspheres and implants), active pharmaceutical ingredient distribution and microporosity inside the polymer matrix are critical for product performance, particularly drug release kinetics. Due to the decreasing domain size and increasing…
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The most significant FDA approvals of the decade (2010-2019)
From innovative leaps in cancer diagnosis and treatment to the growing force of artificial intelligence in aiding medical discovery, the 2010s was a ground-breaking decade for the life science industry. We have seen the steady rise of targeted and personalised medicines, and advancements in genetic…
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A novel method for the production of core-shell microparticles by inverse gelation optimized with…
22. January 2018
Abstract
Numerous studies have been focused on hydrophobic compounds encapsulation as oils. In fact, oils can provide numerous health benefits as synergic ingredient combined with other hydrophobic active ingredients. However, stable microparticles…
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Pharma Integrates Delivers a Strong Message to Industry
20. November 2017
With 372 attendees, 99 speakers, 31 sponsors and 14 channel partners in one place, Pharma Integrates 2017 was always going to be a busy — and noisy — affair, and it didn’t disappoint. In the run up to the event, Maya Zlatanova of FindMeCure posted:…
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Artificial Intelligence: The Future of Pharma
23. June 2017
In the past, machines were considered as tools that reduce human effort by performing tasks that humans are capable of, except thinking and learning. Machines, these days, come with cognitive skills as well, making them highly intelligent, if not to the level of…
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Effect of roll compaction on granule size distribution of microcrystalline cellulose–mannitol…
14. February 2017
Abstract
Dry granulation using roll compaction is a typical unit operation for producing solid dosage forms in the pharmaceutical industry. Dry granulation is commonly used if the powder mixture is sensitive to heat and moisture and has poor flow…
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