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CONTENT

Infographic
10 Considerations for Enhancing Your iPSC Processing Pipeline

How can you enhance your induced pluripotent stem cell (iPSC) processing pipeline? In this infographic, discover 10 questions you should answer to optimize your iPSC processing pipeline, enhance your protocols and ensure you have achieved your desired cell type.

Webinar
Webinar: A Systematic Approach for Driving Cell Identity and Accelerating Regenerative Medicine

Discover high-resolution data, computational power, and novel algorithms as a means of exploring transcriptomic networks, systematically discovering the key regulatory switches driving cell identity and accelerating regenerative medicine.

Commentary
Cell Conversion Shortcuts Mapped with Predictive System

In the cell-fate conversion landscape, the road less traveled is transdifferentiation, even though it is the straighter path between one cell type and another. The more circuitous route, up to pluripotency and then down again, is better trod, in part because the pluripotency-inducing conversion factors—Oct3/Oct4, Sox2, c-Myc, and Klf4—are so well known.

Poster
ISMB 2020 | Mogrify: A computational framework to convert between cell types

Poster presented by Kalaivani Raju, our Senior Bioinformatician, at the 28th Intelligent Systems for Molecular Biology from July 13-16, 2020.

Webinar
Webinar Highlight: Transforming Personalized Medicine into Off the shelf Cell Therapies

Highlights from our webinar on transforming cell therapies from personalized, ad hoc manufacturing processes into a more scalable and accessible treatment.

Webinar
Webinar: Transforming Personalized Medicine into Off the shelf Cell Therapies

Discover novel data-driven solutions to tackle the scalability and accessibility challenges associated with advanced therapeutic medicinal products.

Application Note
Computational Tools for Accelerating Regenerative Medicine

The combination of high-resolution data, computational power and novel algorithms, are enabling accelerated development of in vivo cell transdifferentiation and current cell therapies toward shorter, safer, and more robust strategies.

Commentary
Cell Therapy Manufacturing: Addressing the growing pains in cell therapy manufacturing

Cell therapy is gradually taking center stage in immuno-oncology. Developmental focus is now shifting from proving the clinical benefits of cell therapy to optimizing the processes of manufacturing products for hundreds of patients, for different conditions and at a reasonable price. Here we discuss some of the growing pains faced by the industry and possible solutions.

Application Note
Using big data approaches to develop cell therapies

Stem cell biology and medicine are effectively enabling the establishment of new cell therapies. However, current therapies are limited to a narrow set of cell types that can be isolated or created and expanded in vitro. Dr. Owen Rackham discusses how computational approaches will further enhance cell therapy applications.

Application Note
Transforming Personalized Medicine into Off-the-Shelf Cell Therapies

Despite major progress in the commercialization of advanced medicinal products (ATMPs), the development of these treatments presents manufacturability challenges and questions about bypassing patients’ immune systems. How are they addressed in the autologous and allogeneic approaches to cell therapy?

Application Note
Computational Algorithms and Large-Scale Data for CAR T Cell Therapy Resistance

CAR T cell therapy has demonstrated exceptional clinical success, despite several coexisting issues to be addressed in future products. How can computational algorithms and big data be used to overcome these challenges in future generations of CAR T cell therapy?

Application Note
Biology 3.0: The Single-Cell (R)evolution

Understanding cell regulatory pathways is one of the great challenges in biology. How do new technologies, like single-cell approaches, provide valuable insight and reduce guesswork in the future development of cell and gene therapies?

Commentary
A new technology for direct cell reprogramming

How can big data and network-based algorithms be applied to transform Dr. Yamanaka’s Nobel winning discovery of induced pluripotent stem cells (iPSCs) to direct cell reprogramming of any starting cell type to any other?

Commentary
Cell Therapy - Falling short of its potential?

The success of cell therapy products is defined by three factors: safety, efficacy and scalability. Gene editing technologies (CRISPR, TALENs and ZFNs) are paving the way towards allogeneic safety and ‘universal donor cells’. However, progress is difficult without the ability to produce functional cells at scale.