Best AI tools for< Pharmaceutical Researcher >

Genesis Therapeutics is an AI platform that leverages cutting-edge technology to revolutionize drug discovery and development processes. The platform integrates advanced algorithms and machine learning models to accelerate the identification of novel drug candidates and optimize their properties. By combining computational simulations with experimental data, Genesis Therapeutics offers a comprehensive solution to streamline the drug development pipeline and bring innovative therapies to market faster. The platform is designed to empower researchers and pharmaceutical companies with powerful tools for predicting drug-target interactions, optimizing molecular structures, and prioritizing lead compounds for further investigation.

Lavo Life Sciences is an AI-accelerated crystal structure prediction application that helps in drug development by providing accurate predictions for small molecule drugs. The application utilizes AI technology to optimize solid-state formulations, reduce turnaround time, mitigate risks, and discover novel polymorphs, ultimately streamlining the pharmaceutical research and development process.

Insight is an AI-powered medical research tool that serves as a research assistant for generating scientific summaries, hypotheses, experimental designs, and target identification. It empowers scientists to navigate literature, formulate hypotheses, and design experiments by utilizing peer-reviewed databases to provide reliable outputs. With integrated features like NIH PubMed access, NIH Reporter insights, and MYGENE & MYVARIANT deep dives, Insight streamlines the research process and accelerates discoveries in the medical field.

HUAWEI Cloud Pangu is an AI tool designed for accelerating drug discovery by optimizing drug molecules. It offers features such as Molecule Search, Molecule Optimizer, and Pocket Molecule Design. Users can submit molecules for optimization and view historical optimization results. The tool is based on the MindSpore framework and has been visited over 300,000 times since August 23, 2021.

Kuano is an AI tool that focuses on redefining drug discovery using Quantum and AI technologies. The platform offers world-class scientific expertise in quantum physics, AI, and medicinal chemistry to revolutionize the drug design process. Kuano aims to leverage cutting-edge technologies to accelerate the discovery of new drugs and improve healthcare outcomes.

Thales Labs is a premier AI research lab and incubator empowering entrepreneurs and domain experts to revolutionize industries with large language models and web3. They focus on fostering innovation in sectors like Insurance, Finance, Healthcare, Pharma, Law, and Journalism. The user-friendly app allows experts to build AI applications using their natural language skills, with support from skilled engineers for complex challenges. Join Thales Labs to transform industries, unlock new opportunities, and create value with AI-driven innovation.

HoloEye.AI is a transformative AI biological intelligence company that leverages cutting-edge artificial intelligence technology to revolutionize the field of biological research. The platform offers advanced AI solutions for analyzing complex biological data, enabling researchers to gain deeper insights and accelerate scientific discoveries.

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.

VantAI is an AI application focused on generative AI-enabled drug discovery. Their mission is to unlock a new chapter in medicine by making protein interactions programmable. They have an integrated discovery platform with phase-shifting technologies designed to unlock the full potential of the proximity modulator modality. VantAI collaborates with industry leaders to build the future of therapeutic design. The company has launched Neo-1, the first AI model to rewire molecular interactions by unifying structure prediction and generation.

QuantNexus is an applied research collective that pioneers the future of molecular discovery through intelligent automation. Their mission is to empower the next generation of scientists by creating a human and AI partnership that advances biology significantly. The platform, NovoQuantNexus, fuses machine intelligence with human creativity to achieve breakthroughs in record time, outpacing conventional methods and pure-AI approaches. Researchers in pharma, biotech, and academia are leveraging this technology to accelerate discovery and redefine possibilities in life sciences.

ADMET-AI is a platform for ADMET prediction using Chemprop-RDKit models trained on ADMET datasets from the Therapeutics Data Commons. It offers command line, Python API, and web server interfaces for making ADMET predictions on new molecules. The platform can be easily installed using pip and supports GPU acceleration. It also provides options for processing TDC data, plotting results, and hosting a web server. ADMET-AI is a machine learning platform for evaluating large-scale chemical libraries.

Polaris establishes a novel, industry‑certified standard to foster the development of impactful methods in AI-based drug discovery. This library is a Python client to interact with the Polaris Hub. It allows you to download Polaris datasets and benchmarks, evaluate a custom method against a Polaris benchmark, and create and upload new datasets and benchmarks.

This repository serves as an educational resource for pharmaceutical and chemistry students to learn the basics of Deep Learning through a collection of Jupyter Notebooks. The content covers various topics such as Introduction to Jupyter, Python, Cheminformatics & RDKit, Linear Regression, Data Science, Linear Algebra, Neural Networks, PyTorch, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks, Autoencoders, Graph Neural Networks, and Summary. The notebooks aim to provide theoretical concepts to understand neural networks through code completion, but instructors are encouraged to supplement with their own lectures. The work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

AI-Drug-Discovery-Design is a repository focused on Artificial Intelligence-assisted Drug Discovery and Design. It explores the use of AI technology to accelerate and optimize the drug development process. The advantages of AI in drug design include speeding up research cycles, improving accuracy through data-driven models, reducing costs by minimizing experimental redundancies, and enabling personalized drug design for specific patients or disease characteristics.

New AI Drug Discovery is a repository focused on the applications of Large Language Models (LLM) in drug discovery. It provides resources, tools, and examples for leveraging LLM technology in the pharmaceutical industry. The repository aims to showcase the potential of using AI-driven approaches to accelerate the drug discovery process, improve target identification, and optimize molecular design. By exploring the intersection of artificial intelligence and drug development, this repository offers insights into the latest advancements in computational biology and cheminformatics.

ChemicalQDevice innovates new LLM/LLM agent pharmaceutical industry applications regarding cancer drug cost containment, clinical decision support, cancer signaling pathways, bioprocess engineering, biosynthesis, characterization, or drug synthesis. OpenAI, Anthropic, Gemini, or xAI direct chat proprietary software are utilized to generate LLM reports and propose detailed solutions. AI governance is employed with relevant software implementations, model bias amplification mitigation, and generation traceability analyses.

A Specialized Biochemistry and Pharmaceutical Research Assistant

To provide a comprehensive AI-assisted learning experience for 2nd-year pharmacy students, aiming to enhance understanding, retention, and application of pharmaceutical knowledge.

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

Accurate and timely matching of patients with clinical trials

Experto dermatólogo con 30 años de experiencia, ¿Cómo te podemos ayudar?

Specialising in pharmaceutical research, medical science, and biotech

A tool for designing nanocarrier systems, tailored to drugs and patient profiles.

Especialista em Teses e Dissertações de Farmácia

Explores emerging trends and innovations in medicine.

Excellence in Biotech Research - Powered by OpenAI

薬剤師ナカショウが薬や健康知識について山口弁で答えるBotです。※あくまで参考程度にお使いください。

A German language teacher for medical professionals.

Este modelo de GPT proporciona información general sobre la toxina botulínica, incluyendo su historia, usos comunes y datos de interés. Está diseñado para educar y ofrecer una visión general basada en fuentes de información públicas y conocidas. No proporciona consejos médicos

🔬💊 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. 🚫💼

GPT for drug interactions. Enter at least two medication names to learn about potential drug interactions.

This GPT chat AI is specialized in understanding Extractables and Leachables studies, aligning with pharmaceutical guidelines, and aiding in the design and interpretation of relevant experiments.

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

私と製薬ネタで遊びましょう【注意】私のアウトプットはフィクションです。実在の人物や団体などとは関係ありません。

生物化学领域的知识型助手，避免提供医学建议。