Best AI tools for< Biotechnology Engineer >

PumasAI is an AI tool designed to accelerate access to life-saving treatments for patients by providing data analytics tools and personalized treatments for drug development and healthcare delivery needs. The company has been recognized for its innovative contributions to the pharmaceutical industry, helping in making data-driven decisions more efficiently. PumasAI aims to save time and money for its clients through its fine-tuned offerings and successful regulatory submissions.

APAC is an AI tool that focuses on investing in AI, Deep Tech, and Energy startups to advance humanity. It empowers visionary startups by supporting groundbreaking innovations in various industries such as quantum computing, biotechnology, and sustainable energy solutions. With over 10 years of experience, APAC has funded more than 10 startups and aims to shape the future of work through artificial intelligence technologies.

LifeSciencesIntelligence is a comprehensive online platform that delivers the latest news, insights, and resources in the fields of life sciences, biotechnology, genetics/genomics, and pathology. It serves as a valuable hub for professionals, researchers, and industry experts to stay informed about cutting-edge advancements and emerging trends in these domains.

The Biotech Newswire is a specialized PR distribution service for the life science and biotech industry. With over 20 years of experience, it offers unparalleled media coverage and engagement through meaningful post-release reports. Founded by Dr. Sabine Duntze, a PR expert with a strong life science background, the service enhances press releases for AI-based searches using MeSH terms and ChatGPT. It provides cost-effective and service-oriented solutions with fast email response times, proofreading, and consulting.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It allows users to communicate with the Ollama server and manage models for various deployment scenarios. The library provides APIs for interacting with Ollama, generating fake data, testing UI interactions, translating messages, and building web UIs. Users can easily integrate Ollama4j into their Java projects to leverage the functionalities offered by the Ollama server.

AI2BMD is a program for efficiently simulating protein molecular dynamics with ab initio accuracy. The repository contains datasets, simulation programs, and public materials related to AI2BMD. It provides a Docker image for easy deployment and a standalone launcher program. Users can run simulations by downloading the launcher script and specifying simulation parameters. The repository also includes ready-to-use protein structures for testing. AI2BMD is designed for x86-64 GNU/Linux systems with recommended hardware specifications. The related research includes model architectures like ViSNet, Geoformer, and fine-grained force metrics for MLFF. Citation information and contact details for the AI2BMD Team are provided.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

Excellence in Biotech Research - Powered by OpenAI

Up-to-date interactions in bio-printing technology

Your personal tutor for biochemistry

An expert in bioengineering, skilled in logical problem-solving

微生物学与酶工程专家，清华及麻省理工学者

An expert in Drug Delivery Systems Industry, providing in-depth, accurate insights.

Expert in guiding genetic modification processes with scientific accuracy.

The lil brother of CF+ altering genomes without a license (not for the faint of heart)

🔬💊 Navigate the high-risk, high-reward world of biotech and pharma investing! Discover breakthrough therapies 🧬📈, understand drug development 🧪📊, and evaluate investment opportunities 🚀💰. Invest wisely in innovation! 💡🌐 Not a financial advisor. 🚫💼

As the Pharma Talent Coach, I specialize in career coaching for the pharmaceutical and biotechnology industries. I offer resume analysis and interview coaching. By Glen Osiemo

CRISPR GPT Tutor by Ascendance.dev

Especialista em Biotecnologia e Análise de Dados Acadêmicos

Expert on global biotech crops, policies, and trade data.

Bot de Generación de entradas en el Glosario de Biostatech S.L.

Expert and respectful guide on aging research and its societal impacts.