SlideShare a Scribd company logo
1 of 15
WELCOME
Ensuring Drug Safety in Personalized Treatment
Approaches
Student Name: Varun G V
Qualification : 5th Pharm-D
Student ID: 004/012024
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
1
CONTENTS:
β€’ Introduction
β€’ Definition
β€’ Precursors of personalized treatment
β€’ Method
β€’ Benefits
β€’ Challenges
β€’ Examples of personalized treatment
β€’ References
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
2
INTRODUCTION:
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
3
οƒ˜ Now widely believed that monitoring or preventing that disease must be tailored or
personalized to individual’s unique biochemical, physiological, environmental exposure
and behavioral profile.
οƒ˜ There have been many issues associated with the broad acceptance of personalized
medicines on the part of different health care sectors, such as Physicians, health care
executives, insurance companies and ultimately patients.
οƒ˜ These challenges revolve around a need to prove that personalized medicine strategies,
especially since many tailored or personalized therapies, such as autologous Chimeric
Antigen Receptor T cell (CAR-T) cell transplant therapies for certain types of Cancer and
Mutation specific medicines such as Ivacaftor to treat cystic fibrosis.
οƒ˜ So, in this history the motivation of personalized medicines strategies have emerged in the
last few decades.
Personalized Medicine:
οƒ˜ Personalized medicine also referred as Precision
medicine, is a medical model that separates people
into different groups with medical decisions,
practices, interventions and/or products being
tailored to the individual patient based on their
predicted response or risk of disease.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
4
The Precursors Of Personalized Medicine:
οƒ˜ Garrod, an English physician; he studied a phenotypic manifestations
including alkaptonuria, albinism, cystinuria and pentosuria.
οƒ˜ In these he focused on alkaptonuria led to some notoriety when he observed
that some members of families exhibiting alkaptonuria showed measurably
outlying values for certain basic biochemical assays (from Urine).
οƒ˜ This led him to conclude that alkaptonuria was due to a specific altered
course of metabolism among affected individuals, which was subsequently
proven correct.
οƒ˜ Then Fisher continues phenotypic variation with discrete, heritable factors
that contribute to this variation by suggesting that many factors, such as
genes, might contribute in a small way to a particular phenotype.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
5
History
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
6
An individual who inherited only 1 of 25
genetic variants known to increase height
An individual who inherited only 10 or 12
genetic variants known to average height
An individual who inherited only 22 or 25
genetic variants known to shorter height
Fisher’s Examples based on Height:
οƒ˜ As a result much of the contemporary focus on personalized medicine is rooted in
the findings of genetic studies, it has been shown that individual personalized
treatment is safe and effective.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
7
Individual
Patient
Access to
Health
Care
Genetics
and
Genomics
Imaging
and
Radiology
Wireless
Monitoring
Environmental
Exposures
Tissue
Biomarkers
Method:
οƒ˜ In order to know that mutation is connected to a certain disease,
researchers often do a study called a β€œGenome-wide association
study” (GWAS).
οƒ˜ A GWAS study will look at one disease and then sequence the genome
of many patients with that particular disease to look for shared
mutations in the genome.
οƒ˜ Mutations that are determined to be related to disease by a GWAS
study then we used to diagnose that disease in future patients, by
looking at their genome sequence to find that same mutation.
οƒ˜ The first GWAS, conducted in 2005, studied patients with age-
related macular degeneration (ARMD).
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
8
Benefits:
οƒ˜ Personalized treatment helps health care providers better understand the many
things – including environment, life style, and heredity- that play a role in a patient’s
health, disease or condition.
οƒ˜ This information gives more accurately predict which treatments will be most
effective, safe and prevent the illness in initial stage.
οƒ˜ Benefits are:
 Choosing the treatment for preventing the illness.
 Improve disease detection.
 Predict susceptibility to disease.
 Prescribe the more effective drugs.
 Customize disease prevention strategies.
 Avoid prescribing drugs with predictable negative side effects.
 Reduce the time, cost and failure rate of pharmaceutical Clinical Trials.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
9
Challenges:
οƒΌ As personalized treatment is practiced more widely, a number of challenges arise.
οƒΌ The current approaches to intellectual property rights, reimbursement policies,
Patient privacy, data biases and confidentiality as well as regulatory oversight will
have to be redefined and restructured to accommodate the changes personalized
treatment will bring to health care.
οƒΌ A survey performed in the UK concluded that 63% of UK adults are not
comfortable with their personal data being used by medical field.
οƒΌ Ex: Genetic data obtained from next generation sequencing requires computer
intensive data processing prior to its analysis.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
10
Examples of Personalized Medicine
οƒ˜ The human body deals with traditional pharmacotherapies such as,
drugs, to treat disease in two ways.
οƒ˜ Initially, the body must respond to a drug. The drug must distributed
throughout the body, and during this process the drug might be
biotransformed or metabolized into useful components, which would
begin to elicit effects.
οƒ˜ Finally, any remaining drug or drug components are excreted.
οƒ˜ These process are often heading of β€œPharmacokinetics” and collectively
called as β€œADME”.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
11
Example-1
οƒ˜ Warfarin is a widely used blood thinning medication, that if not dosed
properly could cause a potentially life-threatening adverse drug
reaction.
οƒ˜ Warfarin targets a particular gene, VK0RC1 and is metabolized in part
by the gene CYP2C9.
οƒ˜ Naturally- occurring genetic variation in both the VK0RC1 and CYP2C9
genes leads to variation in the pharmacodynamic and
pharmacodynamic and pharmacokinetic properties of Warfarin across
individuals, ultimately creating variation in individuals responses to
Warfarin.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
12
Example-2:
οƒ˜ Primaquine (PQ): PQ has been used to manage malaria with some success in
parts of the world where Malaria is endemic.
οƒ˜ However, military doctors working in the past observed that some of the soldiers
they treated for malaria that were provided the drug became Jaundiced and
anemic and ultimately exhibited symptoms of Acute Hemolytic Anemia (AHA).
οƒ˜ It was later shown that the individuals exhibiting AHA after PQ administration
carried variants in the G6PD gene.
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
13
References:
οƒ˜ Goetz LH, Schork NJ. Personalized medicine: motivation, challenges,
and progress. Fertility and sterility. 2018 Jun 1;109(6):952-63.
οƒ˜ www.ncbi.nlm.nih.gov
οƒ˜ https://en.Wikipedia.org
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
14
Thank You!
www.clinosol.com
(India | Canada)
9121151622/623/624
info@clinosol.com
17/02/2024
www.clinosol.com | follow us on social media
@clinosolresearch
15

More Related Content

Similar to Pharmacovigilance (PV) Companies: Ensuring Drug Safety in Personalized Treatment Approaches

Real-World Evidence: Harnessing Data for Clinical Decision-Making
Real-World Evidence: Harnessing Data for Clinical Decision-MakingReal-World Evidence: Harnessing Data for Clinical Decision-Making
Real-World Evidence: Harnessing Data for Clinical Decision-MakingClinosolIndia
Β 
BIOSIMILARS AND ITS FUTUE
BIOSIMILARS AND ITS FUTUEBIOSIMILARS AND ITS FUTUE
BIOSIMILARS AND ITS FUTUEAsmitaGpt
Β 
What is an adverse drug reaction and different types of ADRS
What is an adverse drug reaction and different types of ADRSWhat is an adverse drug reaction and different types of ADRS
What is an adverse drug reaction and different types of ADRSClinosolIndia
Β 
Thesis_PhD_Improving medication safety in the elderly
Thesis_PhD_Improving medication safety in the elderlyThesis_PhD_Improving medication safety in the elderly
Thesis_PhD_Improving medication safety in the elderlyHA VO THI
Β 
Drug Safety Quarterly
Drug Safety QuarterlyDrug Safety Quarterly
Drug Safety QuarterlyEswar Krishnan
Β 
Real world Evidence and Precision medicine bridging the gap
Real world Evidence and Precision medicine bridging the gapReal world Evidence and Precision medicine bridging the gap
Real world Evidence and Precision medicine bridging the gapClinosolIndia
Β 
Translation of Orphan DiseaseTrial Design into General Drug Development
Translation of Orphan DiseaseTrial Design into General Drug DevelopmentTranslation of Orphan DiseaseTrial Design into General Drug Development
Translation of Orphan DiseaseTrial Design into General Drug DevelopmentE. Dennis Bashaw
Β 
Patient centered Pharmacovigilance .. .
Patient centered Pharmacovigilance     .. .Patient centered Pharmacovigilance     .. .
Patient centered Pharmacovigilance .. .ClinosolIndia
Β 
Pme lecture 2012presentation part2
Pme lecture 2012presentation part2Pme lecture 2012presentation part2
Pme lecture 2012presentation part2University of Miami
Β 
Revisedpart iipme lecture 2012presentationpart2
Revisedpart iipme lecture 2012presentationpart2Revisedpart iipme lecture 2012presentationpart2
Revisedpart iipme lecture 2012presentationpart2University of Miami
Β 
Pharmaceutical Industry's Role in Advancing Precision Medicine
Pharmaceutical Industry's Role in Advancing Precision MedicinePharmaceutical Industry's Role in Advancing Precision Medicine
Pharmaceutical Industry's Role in Advancing Precision MedicineClinosolIndia
Β 
Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013)
Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013) Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013)
Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013) Global Medical Curesβ„’
Β 
Intentional re-challenge and the clinical data management of Drug Related pro...
Intentional re-challenge and the clinical data management of Drug Related pro...Intentional re-challenge and the clinical data management of Drug Related pro...
Intentional re-challenge and the clinical data management of Drug Related pro...ClinosolIndia
Β 
Transalational Sciences and Clinical Pharmacology in Orphan Drug Development
Transalational Sciences and Clinical Pharmacology in Orphan Drug DevelopmentTransalational Sciences and Clinical Pharmacology in Orphan Drug Development
Transalational Sciences and Clinical Pharmacology in Orphan Drug DevelopmentE. Dennis Bashaw
Β 
PERSONALIZED MEDICINE and customised drug delivery L-1.pptx
PERSONALIZED MEDICINE and customised drug delivery L-1.pptxPERSONALIZED MEDICINE and customised drug delivery L-1.pptx
PERSONALIZED MEDICINE and customised drug delivery L-1.pptxSumant Saini
Β 
The Role of Pharmacovigilance in Ensuring Drug Safety and Efficacy
The Role of Pharmacovigilance in Ensuring Drug Safety and EfficacyThe Role of Pharmacovigilance in Ensuring Drug Safety and Efficacy
The Role of Pharmacovigilance in Ensuring Drug Safety and EfficacyClinosolIndia
Β 
WHMS PGx Presentation
WHMS PGx PresentationWHMS PGx Presentation
WHMS PGx PresentationOrion Cuffe
Β 
Policy recommendations for improved medication adherence in Europe: the ABC P...
Policy recommendations for improved medication adherence in Europe: the ABC P...Policy recommendations for improved medication adherence in Europe: the ABC P...
Policy recommendations for improved medication adherence in Europe: the ABC P...Global Risk Forum GRFDavos
Β 
Phase IV clinical trial.pptx
Phase IV clinical trial.pptxPhase IV clinical trial.pptx
Phase IV clinical trial.pptxDr Abisha T
Β 
Pharmacovigilance in Patriatics and Geriatrics
Pharmacovigilance in Patriatics and GeriatricsPharmacovigilance in Patriatics and Geriatrics
Pharmacovigilance in Patriatics and GeriatricsClinosolIndia
Β 

Similar to Pharmacovigilance (PV) Companies: Ensuring Drug Safety in Personalized Treatment Approaches (20)

Real-World Evidence: Harnessing Data for Clinical Decision-Making
Real-World Evidence: Harnessing Data for Clinical Decision-MakingReal-World Evidence: Harnessing Data for Clinical Decision-Making
Real-World Evidence: Harnessing Data for Clinical Decision-Making
Β 
BIOSIMILARS AND ITS FUTUE
BIOSIMILARS AND ITS FUTUEBIOSIMILARS AND ITS FUTUE
BIOSIMILARS AND ITS FUTUE
Β 
What is an adverse drug reaction and different types of ADRS
What is an adverse drug reaction and different types of ADRSWhat is an adverse drug reaction and different types of ADRS
What is an adverse drug reaction and different types of ADRS
Β 
Thesis_PhD_Improving medication safety in the elderly
Thesis_PhD_Improving medication safety in the elderlyThesis_PhD_Improving medication safety in the elderly
Thesis_PhD_Improving medication safety in the elderly
Β 
Drug Safety Quarterly
Drug Safety QuarterlyDrug Safety Quarterly
Drug Safety Quarterly
Β 
Real world Evidence and Precision medicine bridging the gap
Real world Evidence and Precision medicine bridging the gapReal world Evidence and Precision medicine bridging the gap
Real world Evidence and Precision medicine bridging the gap
Β 
Translation of Orphan DiseaseTrial Design into General Drug Development
Translation of Orphan DiseaseTrial Design into General Drug DevelopmentTranslation of Orphan DiseaseTrial Design into General Drug Development
Translation of Orphan DiseaseTrial Design into General Drug Development
Β 
Patient centered Pharmacovigilance .. .
Patient centered Pharmacovigilance     .. .Patient centered Pharmacovigilance     .. .
Patient centered Pharmacovigilance .. .
Β 
Pme lecture 2012presentation part2
Pme lecture 2012presentation part2Pme lecture 2012presentation part2
Pme lecture 2012presentation part2
Β 
Revisedpart iipme lecture 2012presentationpart2
Revisedpart iipme lecture 2012presentationpart2Revisedpart iipme lecture 2012presentationpart2
Revisedpart iipme lecture 2012presentationpart2
Β 
Pharmaceutical Industry's Role in Advancing Precision Medicine
Pharmaceutical Industry's Role in Advancing Precision MedicinePharmaceutical Industry's Role in Advancing Precision Medicine
Pharmaceutical Industry's Role in Advancing Precision Medicine
Β 
Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013)
Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013) Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013)
Global Medical Curesβ„’ | Paving way for Personalized Medicine (2013)
Β 
Intentional re-challenge and the clinical data management of Drug Related pro...
Intentional re-challenge and the clinical data management of Drug Related pro...Intentional re-challenge and the clinical data management of Drug Related pro...
Intentional re-challenge and the clinical data management of Drug Related pro...
Β 
Transalational Sciences and Clinical Pharmacology in Orphan Drug Development
Transalational Sciences and Clinical Pharmacology in Orphan Drug DevelopmentTransalational Sciences and Clinical Pharmacology in Orphan Drug Development
Transalational Sciences and Clinical Pharmacology in Orphan Drug Development
Β 
PERSONALIZED MEDICINE and customised drug delivery L-1.pptx
PERSONALIZED MEDICINE and customised drug delivery L-1.pptxPERSONALIZED MEDICINE and customised drug delivery L-1.pptx
PERSONALIZED MEDICINE and customised drug delivery L-1.pptx
Β 
The Role of Pharmacovigilance in Ensuring Drug Safety and Efficacy
The Role of Pharmacovigilance in Ensuring Drug Safety and EfficacyThe Role of Pharmacovigilance in Ensuring Drug Safety and Efficacy
The Role of Pharmacovigilance in Ensuring Drug Safety and Efficacy
Β 
WHMS PGx Presentation
WHMS PGx PresentationWHMS PGx Presentation
WHMS PGx Presentation
Β 
Policy recommendations for improved medication adherence in Europe: the ABC P...
Policy recommendations for improved medication adherence in Europe: the ABC P...Policy recommendations for improved medication adherence in Europe: the ABC P...
Policy recommendations for improved medication adherence in Europe: the ABC P...
Β 
Phase IV clinical trial.pptx
Phase IV clinical trial.pptxPhase IV clinical trial.pptx
Phase IV clinical trial.pptx
Β 
Pharmacovigilance in Patriatics and Geriatrics
Pharmacovigilance in Patriatics and GeriatricsPharmacovigilance in Patriatics and Geriatrics
Pharmacovigilance in Patriatics and Geriatrics
Β 

More from ClinosolIndia

Role of Drug Regulatory agencies in Clinical Research.
Role of Drug Regulatory agencies in Clinical Research.Role of Drug Regulatory agencies in Clinical Research.
Role of Drug Regulatory agencies in Clinical Research.ClinosolIndia
Β 
Data Privacy and consent management .. .
Data Privacy and consent management  ..  .Data Privacy and consent management  ..  .
Data Privacy and consent management .. .ClinosolIndia
Β 
Clinical data security and Integrity in Clinical Research
Clinical data security and Integrity in Clinical ResearchClinical data security and Integrity in Clinical Research
Clinical data security and Integrity in Clinical ResearchClinosolIndia
Β 
Presenting- Signal mining in Pharmacovigilance
Presenting- Signal mining in PharmacovigilancePresenting- Signal mining in Pharmacovigilance
Presenting- Signal mining in PharmacovigilanceClinosolIndia
Β 
Introduction to Blogs, Presentations and Review Articles- Noorush Shifa Nizami
Introduction to Blogs, Presentations and Review Articles- Noorush Shifa NizamiIntroduction to Blogs, Presentations and Review Articles- Noorush Shifa Nizami
Introduction to Blogs, Presentations and Review Articles- Noorush Shifa NizamiClinosolIndia
Β 
Patient-Centric Approaches in Precision Medicine Trials: Strategies for Success
Patient-Centric Approaches in Precision Medicine Trials: Strategies for SuccessPatient-Centric Approaches in Precision Medicine Trials: Strategies for Success
Patient-Centric Approaches in Precision Medicine Trials: Strategies for SuccessClinosolIndia
Β 
Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...
Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...
Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...ClinosolIndia
Β 
Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...
Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...
Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...ClinosolIndia
Β 
Emerging Technologies and Tools in Precision Medicine Research
Emerging Technologies and Tools in Precision Medicine ResearchEmerging Technologies and Tools in Precision Medicine Research
Emerging Technologies and Tools in Precision Medicine ResearchClinosolIndia
Β 
Precision Medicine in Action: Case Studies and Success Stories
Precision Medicine in Action: Case Studies and Success StoriesPrecision Medicine in Action: Case Studies and Success Stories
Precision Medicine in Action: Case Studies and Success StoriesClinosolIndia
Β 
Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...
Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...
Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...ClinosolIndia
Β 
Integration of Clinical Trial Systems: Enhancing Collaboration and Efficiency
Integration of Clinical Trial Systems: Enhancing Collaboration and EfficiencyIntegration of Clinical Trial Systems: Enhancing Collaboration and Efficiency
Integration of Clinical Trial Systems: Enhancing Collaboration and EfficiencyClinosolIndia
Β 
Adoptive Design: Optimizing Clinical Trial Strategies for Precision Medicine
Adoptive Design: Optimizing Clinical Trial Strategies for Precision MedicineAdoptive Design: Optimizing Clinical Trial Strategies for Precision Medicine
Adoptive Design: Optimizing Clinical Trial Strategies for Precision MedicineClinosolIndia
Β 
Artificial Intelligence In Clinical Trial
Artificial Intelligence In Clinical TrialArtificial Intelligence In Clinical Trial
Artificial Intelligence In Clinical TrialClinosolIndia
Β 
Emerging Technologies Shaping the Future of Precision Medicine
Emerging Technologies Shaping the Future of Precision MedicineEmerging Technologies Shaping the Future of Precision Medicine
Emerging Technologies Shaping the Future of Precision MedicineClinosolIndia
Β 
Innovations in Liquid Biopsies for Precision Cancer Diagnosis
Innovations in Liquid Biopsies for Precision Cancer DiagnosisInnovations in Liquid Biopsies for Precision Cancer Diagnosis
Innovations in Liquid Biopsies for Precision Cancer DiagnosisClinosolIndia
Β 
Machine Learning Algorithms for Predictive Analytics in Precision Medicine
Machine Learning Algorithms for Predictive Analytics in Precision MedicineMachine Learning Algorithms for Predictive Analytics in Precision Medicine
Machine Learning Algorithms for Predictive Analytics in Precision MedicineClinosolIndia
Β 
Adaptive Clinical Trials: Enhancing Precision and Efficiency
Adaptive Clinical Trials: Enhancing Precision and EfficiencyAdaptive Clinical Trials: Enhancing Precision and Efficiency
Adaptive Clinical Trials: Enhancing Precision and EfficiencyClinosolIndia
Β 
Implementation of Precision Medicine in Global Healthcare Systems
Implementation of Precision Medicine in Global Healthcare SystemsImplementation of Precision Medicine in Global Healthcare Systems
Implementation of Precision Medicine in Global Healthcare SystemsClinosolIndia
Β 
Precision Medicine in Rare Diseases: Navigating Uncharted Territory
Precision Medicine in Rare Diseases: Navigating Uncharted TerritoryPrecision Medicine in Rare Diseases: Navigating Uncharted Territory
Precision Medicine in Rare Diseases: Navigating Uncharted TerritoryClinosolIndia
Β 

More from ClinosolIndia (20)

Role of Drug Regulatory agencies in Clinical Research.
Role of Drug Regulatory agencies in Clinical Research.Role of Drug Regulatory agencies in Clinical Research.
Role of Drug Regulatory agencies in Clinical Research.
Β 
Data Privacy and consent management .. .
Data Privacy and consent management  ..  .Data Privacy and consent management  ..  .
Data Privacy and consent management .. .
Β 
Clinical data security and Integrity in Clinical Research
Clinical data security and Integrity in Clinical ResearchClinical data security and Integrity in Clinical Research
Clinical data security and Integrity in Clinical Research
Β 
Presenting- Signal mining in Pharmacovigilance
Presenting- Signal mining in PharmacovigilancePresenting- Signal mining in Pharmacovigilance
Presenting- Signal mining in Pharmacovigilance
Β 
Introduction to Blogs, Presentations and Review Articles- Noorush Shifa Nizami
Introduction to Blogs, Presentations and Review Articles- Noorush Shifa NizamiIntroduction to Blogs, Presentations and Review Articles- Noorush Shifa Nizami
Introduction to Blogs, Presentations and Review Articles- Noorush Shifa Nizami
Β 
Patient-Centric Approaches in Precision Medicine Trials: Strategies for Success
Patient-Centric Approaches in Precision Medicine Trials: Strategies for SuccessPatient-Centric Approaches in Precision Medicine Trials: Strategies for Success
Patient-Centric Approaches in Precision Medicine Trials: Strategies for Success
Β 
Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...
Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...
Collaborative Initiatives: How Patient Advocacy Groups Contribute to the Succ...
Β 
Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...
Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...
Ethical Dilemmas in Precision Medicine: Navigating the Intersection of Scienc...
Β 
Emerging Technologies and Tools in Precision Medicine Research
Emerging Technologies and Tools in Precision Medicine ResearchEmerging Technologies and Tools in Precision Medicine Research
Emerging Technologies and Tools in Precision Medicine Research
Β 
Precision Medicine in Action: Case Studies and Success Stories
Precision Medicine in Action: Case Studies and Success StoriesPrecision Medicine in Action: Case Studies and Success Stories
Precision Medicine in Action: Case Studies and Success Stories
Β 
Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...
Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...
Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Prec...
Β 
Integration of Clinical Trial Systems: Enhancing Collaboration and Efficiency
Integration of Clinical Trial Systems: Enhancing Collaboration and EfficiencyIntegration of Clinical Trial Systems: Enhancing Collaboration and Efficiency
Integration of Clinical Trial Systems: Enhancing Collaboration and Efficiency
Β 
Adoptive Design: Optimizing Clinical Trial Strategies for Precision Medicine
Adoptive Design: Optimizing Clinical Trial Strategies for Precision MedicineAdoptive Design: Optimizing Clinical Trial Strategies for Precision Medicine
Adoptive Design: Optimizing Clinical Trial Strategies for Precision Medicine
Β 
Artificial Intelligence In Clinical Trial
Artificial Intelligence In Clinical TrialArtificial Intelligence In Clinical Trial
Artificial Intelligence In Clinical Trial
Β 
Emerging Technologies Shaping the Future of Precision Medicine
Emerging Technologies Shaping the Future of Precision MedicineEmerging Technologies Shaping the Future of Precision Medicine
Emerging Technologies Shaping the Future of Precision Medicine
Β 
Innovations in Liquid Biopsies for Precision Cancer Diagnosis
Innovations in Liquid Biopsies for Precision Cancer DiagnosisInnovations in Liquid Biopsies for Precision Cancer Diagnosis
Innovations in Liquid Biopsies for Precision Cancer Diagnosis
Β 
Machine Learning Algorithms for Predictive Analytics in Precision Medicine
Machine Learning Algorithms for Predictive Analytics in Precision MedicineMachine Learning Algorithms for Predictive Analytics in Precision Medicine
Machine Learning Algorithms for Predictive Analytics in Precision Medicine
Β 
Adaptive Clinical Trials: Enhancing Precision and Efficiency
Adaptive Clinical Trials: Enhancing Precision and EfficiencyAdaptive Clinical Trials: Enhancing Precision and Efficiency
Adaptive Clinical Trials: Enhancing Precision and Efficiency
Β 
Implementation of Precision Medicine in Global Healthcare Systems
Implementation of Precision Medicine in Global Healthcare SystemsImplementation of Precision Medicine in Global Healthcare Systems
Implementation of Precision Medicine in Global Healthcare Systems
Β 
Precision Medicine in Rare Diseases: Navigating Uncharted Territory
Precision Medicine in Rare Diseases: Navigating Uncharted TerritoryPrecision Medicine in Rare Diseases: Navigating Uncharted Territory
Precision Medicine in Rare Diseases: Navigating Uncharted Territory
Β 

Recently uploaded

Muzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Muzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetMuzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Muzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Call Girls in Udaipur Girija Udaipur Call Girl βœ” VQRWTO ❀️ 100% offer with...
Call Girls in Udaipur  Girija  Udaipur Call Girl  βœ” VQRWTO ❀️ 100% offer with...Call Girls in Udaipur  Girija  Udaipur Call Girl  βœ” VQRWTO ❀️ 100% offer with...
Call Girls in Udaipur Girija Udaipur Call Girl βœ” VQRWTO ❀️ 100% offer with...mahaiklolahd
Β 
Nanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Nanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetNanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Nanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Thrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Thrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetThrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Thrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…
Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…
Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…gragmanisha42
Β 
Call Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in AnantapurCall Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in Anantapurgragmanisha42
Β 
πŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In Chandigarh
πŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In ChandigarhπŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In Chandigarh
πŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In ChandigarhSheetaleventcompany
Β 
Hubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Hubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetHubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Hubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Jalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Jalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetJalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Jalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Sambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetSambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Mangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Mangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetMangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Mangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…
Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…
Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…gragmanisha42
Β 
Ozhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ozhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetOzhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ozhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
bhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
bhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meetbhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
bhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Ernakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetErnakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Chandigarh
Β 
nagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
nagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meetnagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
nagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
9316020077πŸ“žGoa Call Girls Numbers, Call Girls Whatsapp Numbers Goa
9316020077πŸ“žGoa  Call Girls  Numbers, Call Girls  Whatsapp Numbers Goa9316020077πŸ“žGoa  Call Girls  Numbers, Call Girls  Whatsapp Numbers Goa
9316020077πŸ“žGoa Call Girls Numbers, Call Girls Whatsapp Numbers Goarussian goa call girl and escorts service
Β 
Kolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girl
Kolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girlKolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girl
Kolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girlonly4webmaster01
Β 
Patna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Patna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetPatna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Patna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetCall Girls Service
Β 
Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...Ahmedabad Call Girls
Β 

Recently uploaded (20)

Muzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Muzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetMuzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Muzaffarpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Call Girls in Udaipur Girija Udaipur Call Girl βœ” VQRWTO ❀️ 100% offer with...
Call Girls in Udaipur  Girija  Udaipur Call Girl  βœ” VQRWTO ❀️ 100% offer with...Call Girls in Udaipur  Girija  Udaipur Call Girl  βœ” VQRWTO ❀️ 100% offer with...
Call Girls in Udaipur Girija Udaipur Call Girl βœ” VQRWTO ❀️ 100% offer with...
Β 
Nanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Nanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetNanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Nanded Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Thrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Thrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetThrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Thrissur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…
Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…
Russian Call Girls Kota * 8250192130 Service starts from just β‚Ή9999 βœ…
Β 
Call Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in AnantapurCall Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in Anantapur
Call Girls Service Anantapur πŸ“² 6297143586 Book Now VIP Call Girls in Anantapur
Β 
πŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In Chandigarh
πŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In ChandigarhπŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In Chandigarh
πŸ’š Punjabi Call Girls In Chandigarh πŸ’―Lucky πŸ”8868886958πŸ”Call Girl In Chandigarh
Β 
Hubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Hubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetHubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Hubli Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Jalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Jalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetJalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Jalna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Sambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetSambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Mangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Mangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetMangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Mangalore Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…
Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…
Call Girl Gorakhpur * 8250192130 Service starts from just β‚Ή9999 βœ…
Β 
Ozhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ozhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetOzhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ozhukarai Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
bhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
bhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meetbhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
bhopal Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Ernakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetErnakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
nagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
nagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meetnagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
nagpur Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
9316020077πŸ“žGoa Call Girls Numbers, Call Girls Whatsapp Numbers Goa
9316020077πŸ“žGoa  Call Girls  Numbers, Call Girls  Whatsapp Numbers Goa9316020077πŸ“žGoa  Call Girls  Numbers, Call Girls  Whatsapp Numbers Goa
9316020077πŸ“žGoa Call Girls Numbers, Call Girls Whatsapp Numbers Goa
Β 
Kolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girl
Kolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girlKolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girl
Kolkata Call Girls Miss Inaaya ❀️ at @30% discount Everyday Call girl
Β 
Patna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Patna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real MeetPatna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Patna Call Girls πŸ‘™ 6297143586 πŸ‘™ Genuine WhatsApp Number for Real Meet
Β 
Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad πŸ’‹ 9352988975 πŸ’‹ Genuine WhatsApp Number for R...
Β 

Pharmacovigilance (PV) Companies: Ensuring Drug Safety in Personalized Treatment Approaches

  • 1. WELCOME Ensuring Drug Safety in Personalized Treatment Approaches Student Name: Varun G V Qualification : 5th Pharm-D Student ID: 004/012024 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 1
  • 2. CONTENTS: β€’ Introduction β€’ Definition β€’ Precursors of personalized treatment β€’ Method β€’ Benefits β€’ Challenges β€’ Examples of personalized treatment β€’ References 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 2
  • 3. INTRODUCTION: 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 3 οƒ˜ Now widely believed that monitoring or preventing that disease must be tailored or personalized to individual’s unique biochemical, physiological, environmental exposure and behavioral profile. οƒ˜ There have been many issues associated with the broad acceptance of personalized medicines on the part of different health care sectors, such as Physicians, health care executives, insurance companies and ultimately patients. οƒ˜ These challenges revolve around a need to prove that personalized medicine strategies, especially since many tailored or personalized therapies, such as autologous Chimeric Antigen Receptor T cell (CAR-T) cell transplant therapies for certain types of Cancer and Mutation specific medicines such as Ivacaftor to treat cystic fibrosis. οƒ˜ So, in this history the motivation of personalized medicines strategies have emerged in the last few decades.
  • 4. Personalized Medicine: οƒ˜ Personalized medicine also referred as Precision medicine, is a medical model that separates people into different groups with medical decisions, practices, interventions and/or products being tailored to the individual patient based on their predicted response or risk of disease. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 4
  • 5. The Precursors Of Personalized Medicine: οƒ˜ Garrod, an English physician; he studied a phenotypic manifestations including alkaptonuria, albinism, cystinuria and pentosuria. οƒ˜ In these he focused on alkaptonuria led to some notoriety when he observed that some members of families exhibiting alkaptonuria showed measurably outlying values for certain basic biochemical assays (from Urine). οƒ˜ This led him to conclude that alkaptonuria was due to a specific altered course of metabolism among affected individuals, which was subsequently proven correct. οƒ˜ Then Fisher continues phenotypic variation with discrete, heritable factors that contribute to this variation by suggesting that many factors, such as genes, might contribute in a small way to a particular phenotype. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 5 History
  • 6. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 6 An individual who inherited only 1 of 25 genetic variants known to increase height An individual who inherited only 10 or 12 genetic variants known to average height An individual who inherited only 22 or 25 genetic variants known to shorter height Fisher’s Examples based on Height:
  • 7. οƒ˜ As a result much of the contemporary focus on personalized medicine is rooted in the findings of genetic studies, it has been shown that individual personalized treatment is safe and effective. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 7 Individual Patient Access to Health Care Genetics and Genomics Imaging and Radiology Wireless Monitoring Environmental Exposures Tissue Biomarkers
  • 8. Method: οƒ˜ In order to know that mutation is connected to a certain disease, researchers often do a study called a β€œGenome-wide association study” (GWAS). οƒ˜ A GWAS study will look at one disease and then sequence the genome of many patients with that particular disease to look for shared mutations in the genome. οƒ˜ Mutations that are determined to be related to disease by a GWAS study then we used to diagnose that disease in future patients, by looking at their genome sequence to find that same mutation. οƒ˜ The first GWAS, conducted in 2005, studied patients with age- related macular degeneration (ARMD). 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 8
  • 9. Benefits: οƒ˜ Personalized treatment helps health care providers better understand the many things – including environment, life style, and heredity- that play a role in a patient’s health, disease or condition. οƒ˜ This information gives more accurately predict which treatments will be most effective, safe and prevent the illness in initial stage. οƒ˜ Benefits are:  Choosing the treatment for preventing the illness.  Improve disease detection.  Predict susceptibility to disease.  Prescribe the more effective drugs.  Customize disease prevention strategies.  Avoid prescribing drugs with predictable negative side effects.  Reduce the time, cost and failure rate of pharmaceutical Clinical Trials. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 9
  • 10. Challenges: οƒΌ As personalized treatment is practiced more widely, a number of challenges arise. οƒΌ The current approaches to intellectual property rights, reimbursement policies, Patient privacy, data biases and confidentiality as well as regulatory oversight will have to be redefined and restructured to accommodate the changes personalized treatment will bring to health care. οƒΌ A survey performed in the UK concluded that 63% of UK adults are not comfortable with their personal data being used by medical field. οƒΌ Ex: Genetic data obtained from next generation sequencing requires computer intensive data processing prior to its analysis. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 10
  • 11. Examples of Personalized Medicine οƒ˜ The human body deals with traditional pharmacotherapies such as, drugs, to treat disease in two ways. οƒ˜ Initially, the body must respond to a drug. The drug must distributed throughout the body, and during this process the drug might be biotransformed or metabolized into useful components, which would begin to elicit effects. οƒ˜ Finally, any remaining drug or drug components are excreted. οƒ˜ These process are often heading of β€œPharmacokinetics” and collectively called as β€œADME”. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 11
  • 12. Example-1 οƒ˜ Warfarin is a widely used blood thinning medication, that if not dosed properly could cause a potentially life-threatening adverse drug reaction. οƒ˜ Warfarin targets a particular gene, VK0RC1 and is metabolized in part by the gene CYP2C9. οƒ˜ Naturally- occurring genetic variation in both the VK0RC1 and CYP2C9 genes leads to variation in the pharmacodynamic and pharmacodynamic and pharmacokinetic properties of Warfarin across individuals, ultimately creating variation in individuals responses to Warfarin. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 12
  • 13. Example-2: οƒ˜ Primaquine (PQ): PQ has been used to manage malaria with some success in parts of the world where Malaria is endemic. οƒ˜ However, military doctors working in the past observed that some of the soldiers they treated for malaria that were provided the drug became Jaundiced and anemic and ultimately exhibited symptoms of Acute Hemolytic Anemia (AHA). οƒ˜ It was later shown that the individuals exhibiting AHA after PQ administration carried variants in the G6PD gene. 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 13
  • 14. References: οƒ˜ Goetz LH, Schork NJ. Personalized medicine: motivation, challenges, and progress. Fertility and sterility. 2018 Jun 1;109(6):952-63. οƒ˜ www.ncbi.nlm.nih.gov οƒ˜ https://en.Wikipedia.org 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 14
  • 15. Thank You! www.clinosol.com (India | Canada) 9121151622/623/624 info@clinosol.com 17/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 15