Transforming Biotechnology

AI in biotechnology can be used to generate new drugs, create new types of gene therapy to treat cancers, predict whether a particular research direction is likely to work, assist with clinical trials, perform classification of images to determine properties of cells and much more.

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Biotechnology

AI in biotechnology can help you answer these questions

01
toxicity

Is this new drug toxic?

02
side effects

What are the side effects of this new drug?

03
genetics

What does this particular set of genes do?

04
protein

What does this protein do?

05
dosage

What is a safe dose of a drug?

06
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
AI in biotechnology - creating drug safety with AI
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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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
Read up on our latest blogs in the field of Bioinformatics

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