#techbio

[techbiotrends]

En Chile, la transformación de residuos en fertilizantes biológicos impulsa la sostenibilidad agrícola. Un cambio que protege el suelo, optimiza recursos y reduce el impacto ambiental. 🌿

[jhave]

Pioneering TechBio Solutions in Drug Discovery | Recursion

[backlinkmonk]

NemaLife secured a $300,000 grant from the NIH’s NCCIH

NemaLife which is a techbio platform and is developing AI & microfluidics-based in vivo, in vitro & protein characterization solutions has secured the funding of $300,000 from the NIH’s National Center for Complementary and Integrative Health (NCCIH).

Read: https://healthnews.backlinkmonk.com/healthcare-funding/nemalife-secured-a-300000-grant-from-the-nihs-nccih/

HealthNews #HealthCareNews #medicalnews #fundingnews

[almadengenomics]

David Gascoigne and Kit Fuhrman represented Almaden Genomics at LSXLondon on April 29, on the Mezzanine TechBio Stage about g.nome!

[moremedtech]

NVIDIA BioNeMo Enables Generative AI for Drug Discovery on AWS

NVIDIA BioNeMo Enables Generative AI for Drug Discovery on AWS. Pharma and techbio companies can access the NVIDIA Clara healthcare suite, including BioNeMo, now via Amazon SageMaker and AWS ParallelCluster, and the NVIDIA DGX Cloud on AWS. New to AWS: NVIDIA BioNeMo Advances Generative AI for Drug Discovery Also Available on AWS: NVIDIA Clara for Medical Imaging and Genomics November 28, 2023 - Leading pharmaceutical and biotech companies' researchers and developers can now easily deploy NVIDIA Clara software and services for accelerated healthcare via Amazon Web Services. The initiative, announced today at AWS re:Invent, allows healthcare and life sciences developers who use AWS cloud resources to integrate NVIDIA-accelerated offerings such as NVIDIA BioNeMo—a generative AI platform for drug discovery—which is coming to NVIDIA DGX Cloud on AWS and is currently available via the AWS ParallelCluster cluster management tool for high-performance computing and the Amazon SageMaker machine learning service. AWS is used by thousands of healthcare and life sciences companies worldwide. They can now use BioNeMo to build or customize digital biology foundation models with proprietary data, scaling up model training and deployment on AWS using NVIDIA GPU-accelerated cloud servers. Alchemab Therapeutics, Basecamp Research, Character Biosciences, Evozyne, Etcembly, and LabGenius are among the AWS users who have already started using BioNeMo for generative AI-accelerated drug discovery and development. This collaboration provides them with additional options for rapidly scaling up cloud computing resources for developing generative AI models trained on biomolecular data. This announcement extends NVIDIA’s existing healthcare-focused offerings available on AWS — NVIDIA MONAI for medical imaging workflows and NVIDIA Parabricks for accelerated genomics.

New to AWS: NVIDIA BioNeMo Advances Generative AI for Drug Discovery

BioNeMo is a domain-specific framework for digital biology generative AI, including pretrained large language models (LLMs), data loaders, and optimized training recipes that can help advance computer-aided drug discovery by speeding target identification, protein structure prediction, and drug candidate screening. Drug discovery teams can use their proprietary data to build or optimize models with BioNeMo and run them on cloud-based high-performance computing clusters. One of these models, ESM-2, a powerful LLM that supports protein structure prediction, achieves almost linear scaling on 256 NVIDIA H100 Tensor Core GPUs. Researchers can scale to 512 H100 GPUs to complete training in a few days instead of a month, the training time published in the original paper. Developers can train ESM-2 at scale using checkpoints of 650 million or 3 billion parameters. Additional AI models supported in the BioNeMo training framework include small-molecule generative model MegaMolBART and protein sequence generation model ProtT5. BioNeMo’s pretrained models and optimized training recipes — which are available using self-managed services like AWS ParallelCluster and Amazon ECS as well as integrated, managed services through NVIDIA DGX Cloud and Amazon SageMaker — can help R&D teams build foundation models that can explore more drug candidates, optimize wet lab experimentation and find promising clinical candidates faster

Also Available on AWS: NVIDIA Clara for Medical Imaging and Genomics

Project MONAI, cofounded and enterprise-supported by NVIDIA to support medical imaging workflows, has been downloaded more than 1.8 million times and is available for deployment on AWS. Developers can harness their proprietary healthcare datasets already stored on AWS cloud resources to rapidly annotate and build AI models for medical imaging. These models, trained on NVIDIA GPU-powered Amazon EC2 instances, can be used for interactive annotation and fine-tuning for segmentation, classification, registration, and detection tasks in medical imaging. Developers can also harness the MRI image synthesis models available in MONAI to augment training datasets. To accelerate genomics pipelines, Parabricks enables variant calling on a whole human genome in around 15 minutes, compared to a day on a CPU-only system. On AWS, developers can quickly scale up to process large amounts of genomic data across multiple GPU nodes. More than a dozen Parabricks workflows are available on AWS HealthOmics as Ready2Run workflows, which enable customers to easily run pre-built pipelines. Read the full article

[scispot]

Indee Labs Adopts Scispot to Operate as a Digital Biotech Company

Scispot, the creator of the best tech stack for modern biotech, announces its partnership with Indee Labs, the developer of Hydropore™ for non-viral intracellular delivery. This collaboration aims to empower Indee Labs to digitalize and centralize their research and development processes, leveraging Scispot's no-code operating platform for enhanced efficiency, compliance, and automation, enabling them to operate as a true Digital Biotech company.

Scispot unifies the core functionalities of Electronic Lab Notebook (ELN) and Laboratory Information Management System (LIMS) in a single platform while offering seamless one-click integrations with hundreds of 3rd-party apps and instruments. The platform streamlines repeatable workflows, automates redundant tasks, and generates valuable insights for improved R&D decisions. With Scispot, Indee Labs and other Scispot customers can efficiently meet stringent compliance requirements, such as HIPAA, SOC 2, and CFR Part 11, ensuring a secure and compliant research environment.

Indee Labs' groundbreaking Hydropore™ platform enables non-viral intracellular delivery to modify mammalian T cells without viral vectors. Adopting Scispot's tech stack allows Indee Labs to optimize their workflow and concentrate on advancing immune cell research. "We're thrilled to partner with Indee Labs and support their innovative work in immunotherapy," said Guru Singh, founder & CEO of Scispot. "Our platform's automation, advanced analytics, and visualization tools will streamline workflows, improve data management, and propel scientific progress."

"Scispot's no-code digital operating platform will greatly streamline our R&D processes, enabling our team to focus on what truly matters - advancing immunotherapy research," says Ryan Pawell, CEO of Indee Labs. "Not only does Scispot perfect our internal technical operations, but the seamless integration and automation capabilities offered by Scispot make it a lot easier to operate as a distributed biotech company."

Indee Labs' partnership with Scispot highlights their dedication to innovation and optimization across all aspects of research and development. Supported by funding from IndieBio/SOSV, Y Combinator, Social Capital, Founders Fund, and the National Institutes of Health, Indee Labs has attracted attention from top pharmaceutical companies, life science and biotechnology organizations, and renowned academic institutions such as UCSF, Medical University of South Carolina, and Stanford.

Scispot has become the preferred tech stack for modern biotech startups and scaleups worldwide. On a mission to transform biotech companies into Digital Biotechs, Scispot eliminates data silos, streamlines R&D, and automates processes. With hundreds of integrations, connectors for 3rd-party apps and instruments, and powerful data transformation and analytics capabilities, Scispot helps biotech companies accelerate scientific breakthroughs and bring innovations to market faster.

ABOUT SCISPOT Scispot is a Y Combinator-backed life science informatics company based in the Kitchener-Waterloo area. Scispot has created the best tech stack to help modern biotechs evolve into efficient, scalable TechBio companies. Scispot’s toolkit makes biotech R&D templatizable and programmable, enabling companies to automate lab management, centralize data, establish repeatable workflows, and comply with regulatory guidelines. To learn more, please visit http://www.scispot.com.

ABOUT INDEE LABS Indee Labs is a biotechnology startup developing Hydropore, which enables modified immune cell research and development with improved yield and function using a simple workflow, commercial GMP-grade buffers, and a small footprint. The team at Indee Labs works with three of the top ten pharmaceutical companies, various life-science and biotechnology companies, along with UC San Francisco and the Medical University of South Carolina. Indee Labs is backed by IndieBio/SOSV, Y Combinator, Social Capital, and Founders Fund, among others. More information is available at indeelabs.com.

[thetechbio-blog]

We know who likes and comments on our post but are not aware of hidden visitors. . . If this question always come to our mind, so if you want to know the answer visit our blog post . Link in bio. OR Visit: https://thetechbio.com/who-viewed-my-profile-on-instagram/ . . . . #instagram #hastag #instagramvisitor #growfollowers #thetechbio #techbio #100followers #followers4folllowers #instagramlikers #instagoods #folllowme #newblogger #igblog #newbloggers #smallbloggers #techblog #technologynews #techupdates #dailytech #ipreview via @preview.app https://www.instagram.com/p/CAUZ0IwpTLJ/?igshid=437iy3afbh3c

[sourcinglab]

Bioart

The Brazilian company Bioart, uses a sustainable factory partner to create bio cosmetics with dermatological tests. They always keeps the focus on socio-environmental sustainability and respect for Mother Nature, people, and animals.

To learn more about this innovative brand, check out our article in the bio ! 

SourcingLab is the partner you need if you are looking to add organic cosmetics made in Korea to your beauty line. Do not hesitate to contact on us through our DM or by filling out the contact form on our website. 

[drnic1]

The Silicon Valley Banking Fiasco

When the Titanic Goes Down, All Ships Sink This week I am talking to Julien Pham, MD, Managing Partner of Third Culture Capital, an immigrant-founded, physician-led, seed-stage VC firm focused on emerging health tech and techbio companies that are revolutionizing modern care delivery while optimizing and reshaping the experience of care for both patients and providers. Julien and I share a…

[indoorverticalfarmingnews]

Eagle Genomics Secures Funding from OMRON Ventures

@eaglegen Secures Funding from OMRON Ventures

Eagle Genomics, the pioneering TechBio platform business applying network science to biology, has secured additional scale-up funding from Japan-based corporate venture capital firm OMRON VENTURES CO., LTD. The funds will support the ongoing development of the company’s e[datascientist]™ platform as well as continued global expansion and increased client impact. The e[datascientist]™ is a…

[bitsatomsneuronsgenes]

full stack synthetic biology companies like Solugen are aiming to dramatically improve the efficiency of the chemical industry and flip the environmental impact by making it carbon negative.

Techbio Taxonomy - Not Boring by Packy McCormick

[govindhtech]

AI Opening: NVIDIA BioNeMo Improves AWS Drug Discovery

Using Amazon Web Services, researchers and engineers at top pharmaceutical and techbio firms may now quickly and simply use NVIDIA Clara software and services for faster healthcare.

The program, which was unveiled at AWS re:Invent today, allows developers working in the healthcare and life sciences industry to integrate NVIDIA-accelerated products like NVIDIA BioNeMo, a generative AI platform for drug discovery that will soon be available on NVIDIA DGX Cloud on AWS. It is also currently accessible through the AWS ParallelCluster cluster management tool for high performance computing and the Amazon SageMaker machine learning service.

AWS is used by thousands of healthcare and life sciences businesses worldwide. With proprietary data, they will now have access to BioNeMo, enabling them to construct or modify foundation models for digital biology. Model training and deployment will be sped by the use of NVIDIA GPU-accelerated cloud servers on AWS.

Techbio innovators employing BioNeMo for generative AI-accelerated drug discovery and development include LabGenius, Alchemab Therapeutics, Basecamp Research, Character Biosciences, Evozyne, Etcembly, and AWS customers. They now have additional options to quickly scale up cloud computing resources for creating generative AI models that have been trained on biomolecular data thanks to this collaboration.

With this release, NVIDIA expands its portfolio of healthcare-oriented products on AWS, which includes NVIDIA Parabricks for accelerated genomics and NVIDIA MONAI for medical imaging processes.

NVIDIA BioNeMo: Introducing AWS and Advancing Generative AI for Drug Discovery

BioNeMo is a domain-specific framework for generative AI in digital biology that includes data loaders, pretrained large language models (LLMs), and optimized training recipes that can accelerate target identification, protein structure prediction, and drug candidate screening in computer-aided drug discovery.

Teams working on drug development can utilize BioNeMo to build or optimize models using their proprietary data, which can then be performed on cloud-based high performance computing clusters.

Using 256 NVIDIA H100 Tensor Core GPUs, one of these models the potent LLM ESM-2 achieves nearly linear scalability for protein structure prediction. Instead of taking a month to complete training, as stated in the original report, researchers may scale to 512 H100 GPUs and finish in a few days.

ESM-2 may be trained at scale by developers with checkpoints of 3 billion or 650 million parameters. The BioNeMo training framework supports other AI models, such as the protein sequence generation model ProtT5 and the small-molecule generative model MegaMolBART.

Using self-managed services like AWS ParallelCluster and Amazon ECS as well as integrated, managed services like NVIDIA DGX Cloud and Amazon SageMaker, BioNeMo’s pretrained models and optimized training recipes can help R&D teams build foundation models that can explore more drug candidates, optimize wet lab experimentation, and find promising clinical candidates more quickly.

NVIDIA Clara for Medical Imaging and Genomics is also accessible on AWS

With over 1.8 million downloads, Project MONAI, which NVIDIA cofounded and is enterprise-supported to support medical imaging workflows, may be deployed on AWS. Using their own healthcare datasets that are currently saved on AWS cloud services, developers may quickly annotate and construct AI models for medical imaging.

These models can be used for interactive annotation and fine-tuning for medical imaging segmentation, classification, registration, and detection tasks. They were trained on NVIDIA GPU-powered Amazon EC2 instances. Additionally, MRI image synthesis models included in MONAI can be used by developers to enhance training datasets.

In order to speed up genomics workflows, variant calling on the entire human genome can be accomplished with Parabricks in about 15 minutes as opposed to a day on a CPU-only system. Developers can easily scale up to handle massive volumes of genomic data over numerous GPU nodes on AWS.

AWS HealthOmics offers over twelve Parabricks workflows as Ready2Run workflows, allowing users to quickly run pre-configured pipelines.

Start accelerating AI workflows for drug development, genomics, and medical imaging with NVIDIA Clara on AWS.

Read more on Govindhtech.com

[clusterassets]

New top story on Hacker News: I created the exact same app in React and Vue

New top story on Hacker News: I created the exact same app in React and Vue

I created the exact same app in React and Vue 40 by techbio | 13 comments on Hacker News.

https://ClusterAssets.tk

[thetechbio-blog]

Let action can say your story. . . . . #motivationalpage #quotes #quoteoftheday #quotestoliveby #quotestagram #quotesaboutlife #quotesdaily #quotes #thetechbio #techbio #tech https://www.instagram.com/p/CAkJ37LhR85/?igshid=1bf58s9iy4gfg

[thetechbio-blog]

Top 10 most watched web series in India . . . . #webseries #webseries2020 #indianwebseries #webseriescomingsoon #netflixserie #primevideo #youtubechannel #youtubewebseries #thetechbio #techbio #thekotafactory #mirzapur #thefamilyman #asur #insideedge #insideedge2 #panchayat #sacredgames #sacredgames2 https://www.instagram.com/p/CAdruilnj-s/?igshid=xaqn9u165twy

[thetechbio-blog]

Google hangouts Meet, named as Google Meet, offered as a feature of G Suite and also to free Google users Check full detail, who can use Google meet, How to start Google Meeting using Gmail? visit: https://thetechbio.com/how-to-use-google-meet-from-gmail/ OR (Link in bio) . . . . #googlemeet #google #gmail #googlemeetgmail #thetechbio #techbio #googlemeet #googlehangouts #videoconferencing #googleapps #videoconference #googleclassroom #remoteteaching #virtualclassroom #googlemeets #virtualmeeting #onlinelearning #googlesearch #google #gmailmeet https://www.instagram.com/p/CAdKPjnnuEl/?igshid=xr63k9hndfwd