Quantitative Clinical Forecasting from Preclinical Data
Praedicare uses advanced mechanistic translational disease mathematical models, Quantitative systems pharmacology, distance-based dynamical systems, category theory, quantitative outputs from multiple customized wet lab systems, AI/ML, and pharmacometrics for an integrated output to make quantitative clinical predictions using data generated early during preclinical stages.
Mechanistic Translational Disease Mathematical Modeling & AI Case Studies
1. Morphism mapping and category theory from preclinical models to patients to identify response trajectories & therapy duration
2. Development of biomarkers for clinical response outcomes from preclinical models using Morphism mapping
3. Pediatric maturation pharmacology using integrated approaches with sui generis multiscale systems modeling from the level of cellular chemical reactions such as Michaelis-Menten reaction kinetics constructed de novo based on serum/plasma PKs, the child’s genome, to whole body physiological and age/sex parameters to model drug PKs
4. Mathematical mapping of drug concentrations across organs, lesions and 3D space using dynamical sink models
5. Modeling to map hundreds of physiological pathways and complex adaptive systems using multipl ‘omics across organs, 3D disease lesions and histopathological space using dynamical sink models and simulations for design of vaccines and therapeutics
6. Use of machine learning algorithms to identify PK covariates & use of fractals obese patients
7. Use of machine learning algorithms and clinical trial data to identify clinical MIC/resistance breakpoints
8. Use of AI to deconvolute the effect & concentration thresholds associated with optimal efficacy of component drugs in combinations
9. Use of AI and clinical trial data to identify optimal doses for efficacy & concentration thresholds associated with toxicity
Proprietary Quantitative Preclinical and Clinical Sciences Case Studies
Praedicare is a world-renowned leader in the standard PK/PD modeling and simulation, with combined expertise of greater than a century. Praedicare was part of writing the book. Here are some of Praedicare’s PK/PD publications (out of many) spanning 3 decades.
Quantitative Clinical Forecasting from Preclinical Data
Our quantitative predictions de-risk the drug development process by:
Shortening drug development
Helping make informed early decisions on compounds/leads to continue or stop developing
Develop diagnostic biomarkers and algorithms for adaptive trials reducing the numbers of patients in clinical trials and the duration of treatment for these patients volunteering for clinical trials
Our integrated modeling team consists of medicinal chemists, engineers and physicians – our primary aim during the preclinical stage of drug development is early transition to the clinic for both adults and children.
Our approach is a winning formula for clients
We pioneered many of these approaches
We wrote the original models (and the corresponding code)
We authored and created SOPs
We have used these approaches multiple times
Proprietary Quantitative Preclinical and Clinical Sciences Case Studies
Praedicare is a world-renowned leader in the standard PK/PD modeling and simulation, with combined expertise of greater than a century. Praedicare was part of writing the book. Here are some of Praedicare’s PK/PD publications (out of many) spanning 3 decades.
Quantitative Clinical Forecasting from Preclinical Data
Our quantitative predictions de-risk the drug development process by:
Shortening drug development
Helping make informed early decisions on compounds/leads to continue or stop developing
Develop diagnostic biomarkers and algorithms for adaptive trials reducing the numbers of patients in clinical trials and the duration of treatment for these patients volunteering for clinical trials
Our integrated modeling team consists of medicinal chemists, engineers and physicians – our primary aim during the preclinical stage of drug development is early transition to the clinic for both adults and children.
Our approach is a winning formula for clients
We pioneered many of these approaches
We wrote the original models (and the corresponding code)
We authored and created SOPs
We have used these approaches multiple times
Our approach is a winning formula for clients
Our approach is a winning formula for clients
1. Candida glabrata Fungemia. Clinical features of 139 patients
2. Anidulafungin pharmacokinetics and microbial response in neutropenic mice with disseminated candidiasis
3. Once-weekly micafungin therapy is as effective as daily therapy for disseminated candidiasis in mice with persistent neutropenia
4. Pegylated interferon fractal pharmacokinetics: individualized dosing for hepatitis C virus infection
5.Integrating pharmacokinetics, pharmacodynamics and pharmacogenomics to predict outcomes in antibacterial therapy
6. A program to create short-course chemotherapy for pulmonary Mycobacterium avium disease based on pharmacokinetics/pharmacodynamics and mathematical forecasting
7. Pharmacokinetic-Pharmacodynamic and Dose-Response relationships of antituberculosis drugs: Recommendations and standards for industry and academia
8. An oracle: Antituberculosis pharmacokinetics-pharmacodynamics, clinical correlation and clinical trial simulations to predict the future
9. Levofloxacin pharmacokinetics/pharmacodynamics, dosing, susceptibility breakpoints and artificial intelligence in the treatment of multi-drug tuberculosis
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19
51
Number of Biopharma
Companies Worked With
Number of Projects
Worked On
INTERESTED IN LEARNING MORE?
Contact Us Today
19
Number of Biopharma
Companies Worked With
51
Number of Projects
Worked On