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Preclinical Data
Analysis
The Key to Robust Translational
Results
Definition of Preclinical Research
● Preclinical research typically involves animals and refers to studies
conducted before moving into clinical testing.
● Non-clinical studies can also be preclinical, but are not related to and do
not involve any living species, i.e., animals.
All references can be found in the description box below.
● in vitro
● in vivo
● ex vivo
● in silico models
Types of Preclinical Studies
All references can be found in the description box below.
● Important part in the drug development process
● Looking for new cures, predict drug effects, identify potential
treatments
● Researchers can learn more about the safety and efficacy of a potential
drug candidate.
● Assessment of Pharmacodynamics, Pharmacokinetics, toxicity, safety
toxicity levels, dosing and treatment response
The Importance of Preclinical Testing
All references can be found in the description box below.
Preclinical Research typically involves 6 important steps.
View and
download this
infographic in full
size at our
SlideShare
account
● Different statistical methods can be used.
● Typically the following study sample characteristics are
included: group size, mean, standard deviation,
variance coefficient, R-squared.
● Multivariate statistical methods like t-test, ANOVA, or
MANOVA are used to compare mean differences
between study groups.
Characteristics of
Preclinical Data
Learn more in
our blog post
All references can be found in the description box below.
● Formulation Development phase/discovery
● Preclinical studies
● Clinical Trials
Phases of the Drug
Development Process
Phases involved in the Drug
Development Process
View and
download this
infographic in full
size at our
SlideShare
account
All references can be found in the description box below.
● Need for high statistical power.
● Basic standards: study conduct, personnel, facilities,
equipment, written protocols, operating procedures,
study reports, quality assurance system, common
data elements.
● Adhere to the Principles of Good Laboratory
Practice & Good Scientific Practice.
Characteristics of
Preclinical Data
Learn more in
our blog post
All references can be found in the description box below.
● Benefit for Planning, Preparation, Execution, Analysis.
● Facilitation of faster translation to clinical trials
● Access to data from multiple sources.
● Need for preclinical imaging software solutions,
acquisition systems, viewing and analysis tools.
The Use of Data
Management Platforms
Learn more in
our blog post
All references can be found in the description box below.
● AI-aided data analysis for
greater precision
● Fast processing times
● Automated analysis of large
image data
● Reproducible data analysis
workflows
Current Methods in Preclinical Image
Data Analysis
● Possibility to extract quantitative
and qualitative information
● Solve complex segmentation tasks
● AI-aided pattern recognition
applications
All references can be found in the description box below.
● User-friendly and no coding skills required
● Availability of new features, updates, bug fixes
● Evaluate vascular structures on chorioallantoic membranes
● for in- and ex-ovo assays
● 2D (WSI support), time series, z-stack, multichannel images
● Regions of interest analysis support
● Automatic segmentation of i.e. blood vessels
Quantification of blood vessels on chick
chorioallantoic membrane (CAM) assay
used in ex-vivo angiogenesis research
with the IKOSA software.
IKOSA Prisma CAM Assay
Specialized software solution for image analysis
As researchers continue to investigate new drugs and therapies for
treating different diseases, preclinical image data analysis plays a vital
role in evaluating their efficacy and safety.
● Scan QR code to read our blog post.
● Request a one-month-trial of IKOSA AI to create AI
applications yourself by contacting us at
slideshare@kmlvision.com
● Sign up for a free IKOSA account to test the CAM
Assay application at app.ikosa.ai
Learn more about
Preclinical Data Analysis
KML Vision GmbH
Nikolaiplatz 4
8020 Graz
Austria
www.kmlvision.com
office@kmlvision.com
Thank you!

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Preclinical Data Analysis - The Key to Robust Translational Results

  • 1. Preclinical Data Analysis The Key to Robust Translational Results
  • 2. Definition of Preclinical Research ● Preclinical research typically involves animals and refers to studies conducted before moving into clinical testing. ● Non-clinical studies can also be preclinical, but are not related to and do not involve any living species, i.e., animals. All references can be found in the description box below.
  • 3. ● in vitro ● in vivo ● ex vivo ● in silico models Types of Preclinical Studies All references can be found in the description box below.
  • 4. ● Important part in the drug development process ● Looking for new cures, predict drug effects, identify potential treatments ● Researchers can learn more about the safety and efficacy of a potential drug candidate. ● Assessment of Pharmacodynamics, Pharmacokinetics, toxicity, safety toxicity levels, dosing and treatment response The Importance of Preclinical Testing All references can be found in the description box below.
  • 5. Preclinical Research typically involves 6 important steps. View and download this infographic in full size at our SlideShare account
  • 6. ● Different statistical methods can be used. ● Typically the following study sample characteristics are included: group size, mean, standard deviation, variance coefficient, R-squared. ● Multivariate statistical methods like t-test, ANOVA, or MANOVA are used to compare mean differences between study groups. Characteristics of Preclinical Data Learn more in our blog post All references can be found in the description box below.
  • 7. ● Formulation Development phase/discovery ● Preclinical studies ● Clinical Trials Phases of the Drug Development Process Phases involved in the Drug Development Process View and download this infographic in full size at our SlideShare account All references can be found in the description box below.
  • 8. ● Need for high statistical power. ● Basic standards: study conduct, personnel, facilities, equipment, written protocols, operating procedures, study reports, quality assurance system, common data elements. ● Adhere to the Principles of Good Laboratory Practice & Good Scientific Practice. Characteristics of Preclinical Data Learn more in our blog post All references can be found in the description box below.
  • 9. ● Benefit for Planning, Preparation, Execution, Analysis. ● Facilitation of faster translation to clinical trials ● Access to data from multiple sources. ● Need for preclinical imaging software solutions, acquisition systems, viewing and analysis tools. The Use of Data Management Platforms Learn more in our blog post All references can be found in the description box below.
  • 10. ● AI-aided data analysis for greater precision ● Fast processing times ● Automated analysis of large image data ● Reproducible data analysis workflows Current Methods in Preclinical Image Data Analysis ● Possibility to extract quantitative and qualitative information ● Solve complex segmentation tasks ● AI-aided pattern recognition applications All references can be found in the description box below.
  • 11. ● User-friendly and no coding skills required ● Availability of new features, updates, bug fixes ● Evaluate vascular structures on chorioallantoic membranes ● for in- and ex-ovo assays ● 2D (WSI support), time series, z-stack, multichannel images ● Regions of interest analysis support ● Automatic segmentation of i.e. blood vessels Quantification of blood vessels on chick chorioallantoic membrane (CAM) assay used in ex-vivo angiogenesis research with the IKOSA software. IKOSA Prisma CAM Assay Specialized software solution for image analysis
  • 12. As researchers continue to investigate new drugs and therapies for treating different diseases, preclinical image data analysis plays a vital role in evaluating their efficacy and safety.
  • 13. ● Scan QR code to read our blog post. ● Request a one-month-trial of IKOSA AI to create AI applications yourself by contacting us at slideshare@kmlvision.com ● Sign up for a free IKOSA account to test the CAM Assay application at app.ikosa.ai Learn more about Preclinical Data Analysis
  • 14. KML Vision GmbH Nikolaiplatz 4 8020 Graz Austria www.kmlvision.com office@kmlvision.com Thank you!