There is a growing interest in using computational approaches to predict drug-induced liver injury (DILI.) However, these methods fail to adequately consider detailed aspects of interspecies differences in drug pharmacological behavior, gene dysregulation due to the drugs, accurate drug chemistry, and integration of specific liver toxicity pathways. In this case study, VeriSIM Life performed research aimed to solve these problems by leveraging knowledge-AI hybrid technology (hybrid AI) to provide robust solutions even in severely data-limited scenarios. Read more: bit.ly/3Uj7q3z
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B. Pharm'25| Chegg-MNE | Final year |Bundelkhand University| Ex-Intern at BLBK pharmaceutical|Research enthusiast |
" Exploring the Future of Drug Delivery ?? " . . . As a pharma student deeply interested in drug delivery system , I’m particularly excited about the advancement in liposomal carriers, biodegradable polymers and implants, and CRISPR-cas9-based methods. These technologies are revolutionizing how we approach targeted therapy, offering more precise control, reduced toxicity, and better patient care. . . "CRISPR's potential to transform drug delivery is just beginning to be realized. As we explore its capabilities, the future of personalized medicine looks incredibly promising. What are your thoughts on the next big breakthrough in gene editing and drug delivery?" comment ?? and Follow Harsh Pandey for more. #linkedIn #geneediting #drugdelivery #healthcare #createcontent
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Latest DON Therapeutics news Artificial intelligence is transforming the biotech industry, boosting drug discovery and development. Some interesting recent developments: - Drug discovery: AI models test billions of connections in a few days (it used to take months and years), identifying promising candidates for further research; - Precision medicine: Machine learning algorithms analyze genetic data to develop personalized treatment plans, improving patient outcomes; - Clinical trials: AI optimizes patient recruitment and trial design, potentially reducing the time and cost of bringing new drugs to market. - Gene editing: AI improves CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology, increasing its accuracy and reducing off-target effects. The union of AI and biotechnology is creating unprecedented opportunities to innovate and improve healthcare. Join the biotech revolution and shape a better tomorrow with DON Therapeutics. More about us on our website https://lnkd.in/eKs-9g9e We are always looking for new possibilities in healthcare. If you are a decision-maker, submit your opportunity via the link: https://lnkd.in/dJfhwVvv ? #Biotech #BiotechInnovation #LifeSciences
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We’ve just launched our new monthly Ardigen Newsletter dedicated to AI innovations in biotech and pharma! This newsletter brings you the latest industry updates in just 3-4 minutes—perfect for staying informed without taking up too much of your time. Each edition features insights into how AI is transforming drug discovery and biomedical research. ?? Curious? You can read the latest content on our website and sign up to receive future editions straight to your inbox. Every second Tuesday of the month, we'll deliver a curated summary to keep you up to date. https://lnkd.in/ddtZafMm #AIinBiotech #PharmaInnovation #DrugDiscovery #Ardigen #Newsletter
Your monthly AI in biotech digest – November
https://ardigen.com
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Ardigen just launched new monthly Ardigen Newsletter dedicated to AI innovations in biotech and pharma! 4 minutes read to learn more about current AI directions reshaping drug discovery and biomedical research. #AIinBiotech #PharmaInnovation #DrugDiscovery #Ardigen #Newsletter
We’ve just launched our new monthly Ardigen Newsletter dedicated to AI innovations in biotech and pharma! This newsletter brings you the latest industry updates in just 3-4 minutes—perfect for staying informed without taking up too much of your time. Each edition features insights into how AI is transforming drug discovery and biomedical research. ?? Curious? You can read the latest content on our website and sign up to receive future editions straight to your inbox. Every second Tuesday of the month, we'll deliver a curated summary to keep you up to date. https://lnkd.in/ddtZafMm #AIinBiotech #PharmaInnovation #DrugDiscovery #Ardigen #Newsletter
Your monthly AI in biotech digest – November
https://ardigen.com
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Here are some key trends in the biotech industry include: 1. Gene Editing Technologies: Advances in gene editing tools like CRISPR-Cas9 are revolutionizing the way genetic diseases are treated and crops are modified for improved traits. 2. Personalized Medicine: Tailoring treatments to individual genetic profiles is becoming more prevalent, leading to more effective and targeted therapies. 3. Synthetic Biology: The design and construction of new biological parts, devices, and systems are driving innovation in areas like biofuels, pharmaceuticals, and materials. 4. Biopharmaceuticals: Biotech companies are increasingly focusing on developing biologic drugs, such as monoclonal antibodies and recombinant proteins, for treating various diseases. 5. Bioinformatics: The use of computational tools and big data analysis in biological research is enhancing drug discovery, genomics, and personalized medicine. These trends are shaping the future of the biotech industry, offering exciting opportunities for growth and innovation. ???? #biotechnology #biotechfuture
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Verge Genomics Enters into a Collaboration Agreement with Ferrer for the Development and Commercialization of VRG50635 to Treat Amyotrophic Lateral Sclerosis (ALS)? #vergegenomics #ferrer #vrg50635 #amyotrophiclateralsclerosis #pharma #clinicalagreement #collaboration #development #commercialization #phase1 #proofofconceptstudy #europeancountries #ai #platform
Verge Genomics Signs a Collaboration Agreement with Ferrer for the Development and Commercialization of VRG50635 to Treat Amyotrophic Lateral Sclerosis (ALS)
pharmashots.com
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Publisher / Sr. Business Development Manager , B2B Media Sales: Pharmaceutical Online , CellandGene- Life Science Connect Media
Life science companies aiming to capitalize on the expanding global cell and gene therapy (CGT) manufacturing market will require cutting-edge tools and technologies. However, many of these organizations are insufficiently equipped to meet the high safety standards, rapid production needs, and strict traceability requirements that CGT manufacturing demands. To successfully participate, they must adopt a process that ensures compliance to a recipe or Master Batch Record (MBR), provides verifiable proof of compliance, securely records all manufacturing data to prevent alteration or deletion, and archives this data for tracking, auditing, and continuous improvement. Traditional protocols and methods are inadequate for this challenge, so manufacturers must find ways to optimize processes for fast and reliable production. Continue reading to discover how digitalization can offer better control and increased speed for cell and gene therapy manufacturers. #celltherapy #genetherapy #digitization #software Honeywell | Life Sciences
How Digitalization Helps Cell And Gene Therapy Manufacturers Overcome Operational Challenges
cellandgene.com
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Africa is the world’s most genetically diverse continent, offering immense potential for breakthroughs in pharmacogenomics research, the study of how genetic variation affects drug responses. Yet, this potential remains largely untapped.? ?? AI technology can bridge this gap, but barriers in training and infrastructure must be addressed. In Nature, researchers from Drug Discovery and Development Centre (H3D), University of Cape Town outline the 4 steps to progress needed to ensure that the scientific community in Africa can harness AI.? ?? Read more on what they have to say: https://lnkd.in/gzrvu5bs
AI can help to tailor drugs for Africa — but Africans should lead the way
nature.com
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Artificial Intelligence (AI) is transforming the pharmaceutical and biotechnology industries. From accelerating drug discovery to enhancing gene editing precision, AI-driven innovations are reshaping how treatments are developed. AI's ability to analyze vast datasets is streamlining the discovery of new drugs through predictive analytics, virtual screening, and optimized drug design. In gene editing, AI improves the accuracy of technologies like CRISPR-Cas9, making genetic modifications safer and more precise. These advancements are laying the foundation for personalized medicine, precision therapies, and more efficient clinical trials. As AI continues to evolve, its potential to revolutionize healthcare becomes even more significant. What do you think about this? Let's have a conversation, leave a comment below! #AIinPharma #DrugDiscovery #GeneEditing #Biotechnology #PrecisionMedicine #HealthcareInnovation #Biostór #BiostórIreland
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