Articles with "cell gene" as a keyword



Photo from wikipedia

Automation in cell and gene therapy manufacturing: from past to future

Sign Up to like & get
recommendations!
Published in 2019 at "Biotechnology Letters"

DOI: 10.1007/s10529-019-02732-z

Abstract: As more and more cell and gene therapies are being developed and with the increasing number of regulatory approvals being obtained, there is an emerging and pressing need for industrial translation. Process efficiency, associated cost… read more here.

Keywords: gene; cell gene; gene therapy; therapy manufacturing ... See more keywords
Photo from wikipedia

Bioprocess solutions to assess clinical biodistribution in cell/gene therapies

Sign Up to like & get
recommendations!
Published in 2020 at "Cytotherapy"

DOI: 10.1016/j.jcyt.2020.03.204

Abstract: Background & Aim Lack of comprehensive product knowledge in clinical applications may result in toxicity or reduced drug efficacy. The distributive fate and retention of cell/gene therapies is rarely evaluated, with very few studies assessing… read more here.

Keywords: biodistribution; product; cell gene; bioprocess solutions ... See more keywords
Photo from wikipedia

A modern compendial automated and rapid sterility testing technology for cell and gene therapy products

Sign Up to like & get
recommendations!
Published in 2020 at "Cytotherapy"

DOI: 10.1016/j.jcyt.2020.03.351

Abstract: Background & Aim Cell and Gene Therapies are currently being developed to treat different diseases. By design, those therapies have very short shelf lives compared to traditional sterile pharmaceutical drugs. Besides, Cell and Gene Therapies… read more here.

Keywords: sterility test; sterility; cell; cell gene ... See more keywords
Photo from wikipedia

PRO103 The IMPACT of COVID-19 on the Future Pricing and Market Access of RARE Diseases and CELL-/GENE-Therapies

Sign Up to like & get
recommendations!
Published in 2020 at "Value in Health"

DOI: 10.1016/j.jval.2020.08.1839

Abstract: Objectives: To explore the long-term impact of Covid-19 on the pricing, market access, and payer evidence requirements in rare diseases and cell/gene-therapies Methods: A survey-based Covid-19 payer impact tracker covering US and EU (n= 80… read more here.

Keywords: impact; gene therapies; cell gene; pricing market ... See more keywords
Photo from wikipedia

Patient and public perspectives on cell and gene therapies: a systematic review

Sign Up to like & get
recommendations!
Published in 2020 at "Nature Communications"

DOI: 10.1038/s41467-020-20096-1

Abstract: Cell and gene therapies offer opportunities for treating disease with potential to restore function, and cure disease. However, they are not without risk and pose complex logistical, economic, ethical and social challenges for health systems.… read more here.

Keywords: patient public; systematic review; cell gene; gene ... See more keywords
Photo from academic.microsoft.com

Engaging cell and gene therapists in HIV cure.

Sign Up to like & get
recommendations!
Published in 2020 at "Human gene therapy"

DOI: 10.1089/hum.2020.236

Abstract: Cell and gene therapy (CGT) has a variety of potential applications in human immunodeficiency virus (HIV) prevention and management. The existing network of CGT researchers for HIV cure will benefit from an influx of fresh… read more here.

Keywords: hiv cure; gene; cell gene; engaging cell ... See more keywords
Photo from wikipedia

Pancreatic cancer cell and gene biotherapies; past, present and future.

Sign Up to like & get
recommendations!
Published in 2022 at "Human gene therapy"

DOI: 10.1089/hum.2022.210

Abstract: : Solid cancers remain a major health challenge in terms of research, not only due to their structure and organisation but also in the molecular and genetic variations present between tumours as well as within… read more here.

Keywords: gene biotherapies; pancreatic cancer; cell gene; cancer cell ... See more keywords
Photo from wikipedia

Selecting gene features for unsupervised analysis of single-cell gene expression data.

Sign Up to like & get
recommendations!
Published in 2021 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbab295

Abstract: Single-cell RNA sequencing (scRNA-seq) technologies facilitate the characterization of transcriptomic landscapes in diverse species, tissues, and cell types with unprecedented molecular resolution. In order to evaluate various biological hypotheses using high-dimensional single-cell gene expression data,… read more here.

Keywords: single cell; expression data; cell gene; gene expression ... See more keywords
Photo by nci from unsplash

Compliance in Non-Clinical Development of Cell-, Gene-, and Tissue-Based Medicines: Good Practice for Better Therapies

Sign Up to like & get
recommendations!
Published in 2022 at "Stem Cells Translational Medicine"

DOI: 10.1093/stcltm/szac046

Abstract: Abstract The development of cell-, gene- and tissue engineering (CGT)-based therapies must adhere to strict pharmaceutical quality management standards, as for any other biological or small-molecule drug. However, early developments often failed to fully comply… read more here.

Keywords: compliance non; development; development cell; cell gene ... See more keywords
Photo from wikipedia

Toward Combined Cell and Gene Therapy for Genodermatoses.

Sign Up to like & get
recommendations!
Published in 2019 at "Cold Spring Harbor perspectives in biology"

DOI: 10.1101/cshperspect.a035667

Abstract: To date, more than 200 monogenic, often devastating, skin diseases have been described. Because of unmet medical needs, development of long-lasting and curative therapies has been consistently attempted, with the aim of correcting the underlying… read more here.

Keywords: cell gene; gene therapy; combined cell;
Photo by nci from unsplash

ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data

Sign Up to like & get
recommendations!
Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2021.3098394

Abstract: Clustering single-cell RNA sequence (scRNA-seq) data poses statistical and computational challenges due to their high-dimensionality and data-sparsity, also known as 'dropout' events. Recently, Regularized Auto-Encoder (RAE) based deep neural network models have achieved remarkable success… read more here.

Keywords: clustering single; cell; single cell; cell gene ... See more keywords