Technology – Page 12
-
ArticleTessera Therapeutics: addressing Alpha-1 Antitrypsin Deficiency
As the industry looks beyond CRISPR to safely introduce therapeutic genomic changes anywhere in the body, in vivo gene editing holds immense potential to address diseases with a genetic basis. Boston-based biotech Tessera Therapeutics is pioneering the next generation of genetic medicines with its Gene Writing™ platform. At this year’s ...
-
ArticleNew algorithm forms atlas of histomorphological phenotypes
The algorithm can accurately diagnose cases of lung adenocarcinoma, determining structural features that are statistically most significant for assessing disease severity and likelihood of tumour recurrence.
-
ArticleTreating immune-mediated diseases with nanoparticles
In this Q&A, we had the privilege of speaking to COUR Pharmaceuticals’ CEO John Puisis. He offers insights into how their innovative immune-modifying nanoparticle platform differs from traditional approaches for treating immune-mediated diseases.
-
ArticleKickstarting the use of AI for biotechs: part two
Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch up with their AI-enabled peers – but why should they, and how? In this article – the second of a three-part series – Dr Raminderpal Singh touches on methods that are being ...
-
ArticleEnhancing gene therapy with Circio
In this Q&A, Erik Wiklund, CEO of Circio, explains the key findings of their circVec circular RNA platform technology, why they chose AAV-based gene therapy for AATD as the lead programme, and their plans for the future to enhance the potency and reduce the cost of current gold-standard gene therapy. ...
-
ArticleTransomics’ impact on a promising liver cancer therapeutic
Using its AI-driven platform, Pepper Bio discovered a promising therapeutic for liver cancer. In this Q&A session with Jon Hu, CEO and co-founder of Pepper Bio, we dive into how the identification of two inhibitors led to a $135M in-licensing deal.
-
ArticleKickstarting the use of AI for biotechs: part one
Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch-up with their AI-enabled peers – but why should they, and how? In this article – the first of a three-part series – Dr Raminderpal Singh seeks to demystify the topic by outlining ...
-
ReportBeyond the lab: cell and gene therapy
Download this report now to access exclusive content on innovative cancer treatments, regenerative medicine, gene therapy, and expert insights from leading professionals in the field.
-
ArticleBiomarker identification in the realm of rare diseases
In this Q&A, Debiopharm’s Principal Scientist Dr Luke Piggott defines the critical requirement of biomarkers for identifying rare diseases. He illuminates how AI-enhanced approaches are accelerating the drug discovery process, particularly regarding clinical trial enrolment, and the breakthroughs he hopes to see in the future.
-
ArticleMachine learning’s growing importance in researching cells
As we move towards more generalised AI models, neural networks and natural language interfaces, we’re starting to see machine learning take the place of higher order reasoning and data analysis “sense making.” Traditional scientific inquiry has typically been about asking specific questions of a specific model system under specific conditions. ...
-
ArticleOptimising CRISPR gene editing of hard-to-transfect cells
CRISPR has transformed gene editing, but still presents challenges in hard-to-transfect cells, such as pluripotent stem cells and primary cells.1 The key to obtaining successful transfection in these cells lies in innovative workflows. Here Georges Müller, CEO and cofounder of SEED Biosciences, shares his perspective on why focusing on editing ...
-
Article
HIF inhibition: a potential therapeutic approach for cancers
In this Q&A, Curve Therapeutic’s Chief Scientific Officer Professor Ali Tavassoli discusses how dual HIF inhibition could combat solid tumours.
-
ArticleUsing AI to predict metastatic behaviour of NSCLC
Dr Richard Cote and Dr Ramaswamy Govindan of the Washington University School of Medicine elucidate how AI, particularly deep learning networks, could identify histopathologic features in non-small cell lung cancer, and impact the treatment approach for early-stage patients.
-
ArticleFinding the right CDMO partner for cell line development
The commercial production of recombinant proteins, such as antibodies and enzymes, relies on generating and maintaining specific cell lines designed to produce these specialised molecules. However, the creation of cell lines is a technically demanding and time-consuming process. For this reason, many businesses seek partnerships with contract development and manufacturing ...
-
Article
Unlocking the potential of natural products in drug discovery
Natural products play an underappreciated role in drug discovery. Tandem mass spectrometry (MS/MS)-based metabolomics coupled with machine learning is allowing new, highly diverse molecules from natural products to be identified, revealing bioactive compounds and pinpointing promising drug targets. The additional dimension provided by trapped ion mobility (TIMS) enables researchers to ...
-
ArticleStreamlining the path from lab to market with 3D bioprinting
In this Q&A, Dr Vidmantas Šakalys, CEO of Vital3D, provides insights into the potential of 3D bioprinting to revolutionise the traditional drug development process, facilitating more accurate models and limiting the use of animal testing.
-
ArticleDriving efficiency across upstream bioprocess workflow
Dr Anis H Khimani from Revvity explores how key developments have enhanced biotherapeutic workflows, and explores how a transposon system can aid stable clone development.
-
ArticleScalable precision design targeting complex product profiles
We had the privilege of speaking to Dr Víctor Sebastián Pérez, Associate Director of Computational Drug Design, following his presentation at ELRIG UK 2023. He shares his insights into how Exscientia is using AI to design drug candidates for cancer treatment.
-
ArticleWomen in Stem with Dr Amber D. Van Laar
Dr Amber Van Laar shares her remarkable journey in STEM. From a childhood fascination with science and medicine to a pivotal role as VP Clinical Development, AskBio. In this interview, she explores the profound impact of her early exposure to neuro-oncology, the challenges faced as a physician-scientist, and the pursuit ...
-
ArticleGamma delta T cells: a rising star in cancer therapy
Gamma delta (γδ) T cells comprise a distinct and powerful subpopulation of T cells, bridging innate and adaptive immunity, that holds great promise for treating cancer. IN8Bio co-founder and CEO William Ho and COO Kate Rochlin discuss what makes γδ T cells unique, how preclinical research suggests their antitumour activity ...