Biotechnology

AI in biotechnology can help you answer these questions

toxicity

Is this new drug toxic?

side effects

What are the side effects of this new drug?

genetics

What does this particular set of genes do?

protein

What does this protein do?

dosage

What is a safe dose of a drug?

pharmacokinetics

How is a drug broken down in a body?

Why AI in Biotechnology?

Performing routine tasks better than humans

From radiology to IPS cell sorting to spectrography– ability to process volumes of data without human involvement can both accelerate processes, reduce costs and reduce errors.

Gaining new insights

Identifying CMC issues before they happen in drug production, new drugs, biomarkers, health issues or at risk patients can save lives, reduce costs and create new products.

Emulating humans

Increasingly insurance companies and healthcare providers are using digital assistants to help patients and customers to make better decisions or inform them without increasing costs.

the drug discovery process

Identify Targets

Information gathering
Understanding disease mechanism
Data processing

AI CAN BE USE TO:

Identify cause and effect
Identify correlation in datasets
Pattern detection
Literature search
Identify target pathways

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AI in biotechnology - creating drug safety with AI

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AI in biotechnology - discover new drugs with AI

Develop Target Drugs

Repurpose existing drugs
Generate novel drug candidates and validate
Design drugs

AI CAN BE USED TO:

Identify cause and effect relationships
Molecular filtering
Generative methods
Proteomics/Genomic analysis
Literature search

Clinical Trials

Design and run pre-clinical trials
Recruit for clinical trials
Analyze clinical trial results

AI CAN BE USED TO:

Drug safety and side effects
Identifying suitable candidates for trials
Data analysis
Literature search

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Top Four Mistakes Organizations Make When Launching an AI Initiative

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AI in biotechnology - biotechnology AI use cases

identify biomarkers

Analyzing spectrometry data
Biomarker and disease correlation
Molecular identification

AI CAN BE USED TO:

Identify proteins and other molecules in fluids
Identify correlations in datasets
Mapping biomarker to disease progression

AI Platform Designed for Biotechnology

NeoPulse is designed to put AI into the hands of analysts, researchers and scientists by lowering barriers to entry

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Blood derived TB diagnosis using NeoPulse AI platform 900 x 519

TB DIAGNOSTICS

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LUNG CARCINOMA DIAGNOSTICS

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siRNA EFFICIENCY PREDICTION

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BIOMARKER IDENTIFICATION

Read up on our latest blogs in the field of Bioinformatics

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Nitto Denko Case Study

August 1, 2022

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Novel Cancer Target Discovery by Explainable AI

AI Dynamics applied LRP to a cancer classification model, built on gene expression data, to identify a set of genes important for classifying cancer patients.

January 25, 2022

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Transforming Biotechnology

AI in biotechnology can help you answer these questions

Why AI in Biotechnology?