The FDA Drug Development Process

This webinar provides an overview of the FDA’s Drug Development Process. This webinar also includes the major FDA regulations involved in the Drug Development Process – the GLP, GMP and GCP regulations.

This webinar is ideal for those who are new to the Drug Development process and those experienced researchers that need an update on FDA requirements.

Why should you Attend:This webinar is a must for those who have to have an understanding of FDA’s Drug Development Process.

Areas Covered in the Session:

  • Overview of FDA’s Drug Development Process
  • Nonclinical studies required
  • Human clinical studies required
  • IND requirements
  • NDA requirements

Who Will Benefit:

  • Regulatory Affairs Personnel
  • Quality Personnel
  • Research Personnel
  • Clinical Personnel
  • Project Managers
  • Legal Personnel
  • Those personnel that require a general understanding of the FDA’s Drug Development Process
Speaker Profile

Albert A. Ghignone MS, RAC is the CEO of AAG Incorporated. For more than 30 years his focus has been on FDA related matters in regulatory affairs, quality assurance and clinical affairs. He has expertise in dealing with all aspects of the FDA approval process for drugs, biologics, medical devices and generic drugs. He has worked in every major segment of the industry-research, quality assurance, regulatory affairs, manufacturing and clinical. He has been responsible for regulatory submissions, registrations, FDA liaison, clinical studies, compliance activities and FDA training. He also has expertise in the assessment of product and facilities for due diligence relative to FDA requirements. He lectures throughout the world on numerous FDA related matters. He is a consultant to FDA and trains FDA Field Force (those who conduct FDA inspections) on GCP, GLP and GMP). In addition to training FDA personnel Mr. Ghignone also consults/trains for Drug, Biologic and Medical Device companies, US Army HIV Research Group, NIH AIDS Group, US Army Surgical Research Group and the Naval Medical Research Group. He is a member of the Regulatory Affairs Professionals Society which elected him the 1984 Professional of the Year. He has served the society as Vice President, President and Chairman of the Board of Directors.

In recent years he has filed numerous FDA drug, biologic and medical device submissions for product approval. In addition he has been involved in two of the largest clinical trials conducted, the 8,000 patient clinical trial in Africa and the 16,000 patient clinical trial in Thailand.

Applied Statistics for FDA Process Validation

Course “Applied Statistics for FDA Process Validation” has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

In Guidance for Industry Process Validation: General Principle and Practices, process validation is defined as, “”…the collection and evaluation of data, from the process design stage through commercial production..” The guidance further delineates the ‘process design stage through commercial production’ into three distinct stages of the product lifecycle:

Stage 1: Process Design: The commercial manufacturing process is defined during this stage based on knowledge gained through development and scale-up activities.

Stage 2: Process Qualification: During this stage, the process design is evaluated to determine if the process is capable of reproducible commercial manufacturing.

Stage 3: Continued Process Verification: Ongoing assurance is gained during routine production that the process remains in a state of control.

The first stage of process validation is process design. The Process Validation guidance document states, “A successful validation program depends on information and knowledge from product and process development. This knowledge and understanding is the basis for establishing an approach to control of a manufacturing process that results in products with desired quality attributes:

Manufactures should:

  • Understand the sources of variation
  • Detect the presence and degree of variation
  • Understand the impact of variation on the process and ultimately on product attributes
  • Control the variation in a manner commensurate with the risk it represents to the process and product.”

The second stage of process validation is process qualification. Although stage 2 has two elements, this course will focus on recommendations for the second element, PPQ. PPQ “combines the actual facility, utilities, equipment (each now qualified), and the trained personnel with the commercial manufacturing process, control procedures, and components to produce commercial batches.” Additionally, the process validation guidance document that “Each manufacturer should judge whether it has gained sufficient understanding to provide a high degree of assurance in its manufacturing process to justify commercial distribution of the product. Focusing exclusively on qualification efforts without understanding the manufacturing process and associated variations may not lead to adequate assurance of quality.”

The third stage of process validation is continued process verification. The process validation guidance document defines the need for this stage: “After establishing and confirming the process, manufacturers must maintain the process in a state of control over the life of the process, even as materials, equipment, production environment, personnel, and manufacturing procedures change.” Manufacturers should use ongoing programs to collect and analyze product and process data to evaluate the state of control of the process. These programs may identify process or product problems or opportunities for process improvements that can be evaluated and implemented through some of the activities described in Stages 1 and 2.”

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process validation program consistent with the FDA guidance. It begins with a primer on statistics, focusing on methods that will be applied in each remaining chapter. Next, it teaches the application of statistics for setting specifications and assessing measurement systems (assays), two foundational requirements for process validation. Lastly, the course applies statistic through the three stages of process validation defined by requirements in the process validation regulatory guidance documents. Methods taught through all three stages are recommended by regulatory guidance documents; references to the specific citations in the guidance documents are provided.

Why you should attend:

The Food and Drug Administration (FDA) provided a guidance for industry in 2011 that has established a framework for process validation in the pharmaceutical industry. This guidance, titled “Process Validation: General Principles and Practices” consists of a three-stage process. The three stages are 1) Process Design, 2) Process Qualification, and 3) Continued Process Verification.

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the FDA guidance. This course teaches the application of statistics for setting specifications, assessing measurement systems (assays), using design of experiments (DOE), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the three-stage product cycle framework defined by requirements in the process validation regulatory guidance documents.

Although established for the pharmaceutical industry, it also provides a useful framework for other industries.

Analyses in this course use the point-and-click interface of JMP software by SAS.

Areas Covered in the Session

  • apply statistics to set specifications and validate measurement systems (assays)
  • develop appropriate sample plans based on confidence and power
  • implement suitable statistical methods into a process validation program for each of the three stages
  • Stage 1, Process Design: utilize risk management tools to identify and prioritize potential critical process parameters; and define critical process parameters and operating spaces for the commercial manufacturing process using design of experiments (DOE)
  • Stage 2, Process Qualification: assess scale effects while incorporating large (pilot and/or commercial) scale data; develop process performance qualification (PPQ) acceptance criteria by characterizing intra and inter-batch variability using process design data and batch homogeneity studies; and develop an appropriate sampling plan for PPQ
  • Stage 3, Continued Process Verification: develop a control plan as part of a risk management strategy; collect and analyze product and process data; and ensure your process is in (statistical) control and capable.

Who Will Benefit:

This seminar is designed for pharmaceutical and biopharmaceutical professionals who are involved with product and/or process design, validation, or manufacturing/control.

  • Process Scientist/Engineer
  • Design Engineer
  • Product Development Engineer
  • Regulatory/Compliance Professional
  • Design Controls Engineer
  • Six Sigma Green Belt
  • Six Sigma Black Belt
  • Continuous Improvement Manager

Day 1 Schedule

Lecture 1: Introduction to Statistics for Process Validation

  • principles of process validation
  • stages of process validation

Primer on Statistical Analysis

  • basic statistics

Lecture 2: Primer on Statistical Analysis (cont.)

  • statistical intervals and hypothesis testing

Lecture 3: Primer on Statistical Analysis (cont.)

  • statistical intervals and hypothesis testing
  • ANOVA

Lecture 4: Primer on Statistical Analysis (cont.)

  • regression
  • run charts

Day 2 Schedule

Lecture 1: Foundational Requirements for Process Validation

  • setting specifications
  • analytical methodology

Stage 1 – Process Design

  • steps to DOE
  • screening designs

Lecture 2: Stage 1 – Process Design

  • response surface designs
  • establishing a strategy for process qualification

Lecture 3: Stage 2 – Process Qualification

  • introduction
  • incorporation of large-scale data
  • development of PPQ acceptance criteria
  • development of sampling plans

Lecture 4: Stage 3 – Continued Process Verification

  • statistical process control
  • process capability

Heath Rushing

Co-founder and Principal, Adsurgo

Heath Rushing is the cofounder of Adsurgo and author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP. Previously, he was the JMP and Six Sigma training manager at SAS. He led a team of nine technical professionals designing and delivering applied statistics and quality continuing education courses. He created tailored courses, applications, and long-term training plans in quality and statistics across a variety of industries to include biotech, pharmaceutical, medical device, and chemical processing. Mr. Rushing has been an invited speaker on applicability of statistics for national and international conferences. As a Quality Engineer at Amgen, he championed statistical principles in every business unit. He designed and delivered a DOE course that immediately became the company standard required at multiple sites. Additionally, he developed and implemented numerous innovative statistical methods advancing corporate risk management, process capability, and validation acceptance criteria. He won the top teaching award out of 54 instructors in the Air Force Academy math department where he taught several semesters and sections of operations research and statistics. Additionally, he designs and delivers short courses in statistics, data mining, and simulation modeling for SAS.

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Applied Statistics for FDA Process Validation

Course “Applied Statistics for FDA Process Validation” has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

In Guidance for Industry Process Validation: General Principle and Practices, process validation is defined as, “”…the collection and evaluation of data, from the process design stage through commercial production..” The guidance further delineates the ‘process design stage through commercial production’ into three distinct stages of the product lifecycle:

Stage 1: Process Design: The commercial manufacturing process is defined during this stage based on knowledge gained through development and scale-up activities.

Stage 2: Process Qualification: During this stage, the process design is evaluated to determine if the process is capable of reproducible commercial manufacturing.

Stage 3: Continued Process Verification: Ongoing assurance is gained during routine production that the process remains in a state of control.

The first stage of process validation is process design. The Process Validation guidance document states, “A successful validation program depends on information and knowledge from product and process development. This knowledge and understanding is the basis for establishing an approach to control of a manufacturing process that results in products with desired quality attributes:

Manufactures should:

  • Understand the sources of variation
  • Detect the presence and degree of variation
  • Understand the impact of variation on the process and ultimately on product attributes
  • Control the variation in a manner commensurate with the risk it represents to the process and product.”

The second stage of process validation is process qualification. Although stage 2 has two elements, this course will focus on recommendations for the second element, PPQ. PPQ “combines the actual facility, utilities, equipment (each now qualified), and the trained personnel with the commercial manufacturing process, control procedures, and components to produce commercial batches.” Additionally, the process validation guidance document that “Each manufacturer should judge whether it has gained sufficient understanding to provide a high degree of assurance in its manufacturing process to justify commercial distribution of the product. Focusing exclusively on qualification efforts without understanding the manufacturing process and associated variations may not lead to adequate assurance of quality.”

The third stage of process validation is continued process verification. The process validation guidance document defines the need for this stage: “After establishing and confirming the process, manufacturers must maintain the process in a state of control over the life of the process, even as materials, equipment, production environment, personnel, and manufacturing procedures change.” Manufacturers should use ongoing programs to collect and analyze product and process data to evaluate the state of control of the process. These programs may identify process or product problems or opportunities for process improvements that can be evaluated and implemented through some of the activities described in Stages 1 and 2.”

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process validation program consistent with the FDA guidance. It begins with a primer on statistics, focusing on methods that will be applied in each remaining chapter. Next, it teaches the application of statistics for setting specifications and assessing measurement systems (assays), two foundational requirements for process validation. Lastly, the course applies statistic through the three stages of process validation defined by requirements in the process validation regulatory guidance documents. Methods taught through all three stages are recommended by regulatory guidance documents; references to the specific citations in the guidance documents are provided.


Why you should attend:

The Food and Drug Administration (FDA) provided a guidance for industry in 2011 that has established a framework for process validation in the pharmaceutical industry. This guidance, titled “Process Validation: General Principles and Practices” consists of a three-stage process. The three stages are 1) Process Design, 2) Process Qualification, and 3) Continued Process Verification.

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the FDA guidance. This course teaches the application of statistics for setting specifications, assessing measurement systems (assays), using design of experiments (DOE), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the three-stage product cycle framework defined by requirements in the process validation regulatory guidance documents.

Although established for the pharmaceutical industry, it also provides a useful framework for other industries.

Analyses in this course use the point-and-click interface of JMP software by SAS.


Areas Covered in the Session

  • apply statistics to set specifications and validate measurement systems (assays)
  • develop appropriate sample plans based on confidence and power
  • implement suitable statistical methods into a process validation program for each of the three stages
  • Stage 1, Process Design: utilize risk management tools to identify and prioritize potential critical process parameters; and define critical process parameters and operating spaces for the commercial manufacturing process using design of experiments (DOE)
  • Stage 2, Process Qualification: assess scale effects while incorporating large (pilot and/or commercial) scale data; develop process performance qualification (PPQ) acceptance criteria by characterizing intra and inter-batch variability using process design data and batch homogeneity studies; and develop an appropriate sampling plan for PPQ
  • Stage 3, Continued Process Verification: develop a control plan as part of a risk management strategy; collect and analyze product and process data; and ensure your process is in (statistical) control and capable.

Who Will Benefit:

This seminar is designed for pharmaceutical and biopharmaceutical professionals who are involved with product and/or process design, validation, or manufacturing/control.

  • Process Scientist/Engineer
  • Design Engineer
  • Product Development Engineer
  • Regulatory/Compliance Professional
  • Design Controls Engineer
  • Six Sigma Green Belt
  • Six Sigma Black Belt
  • Continuous Improvement Manager

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Virtual Seminar on 21 CFR Part 11 Compliance for Computer Systems Regulated by FDA

The Webinar will focus on the importance of ensuring that electronic record/electronic signature (ER/ES) capability built into FDA-regulated computer systems meets compliance with 21 CFR Part 11. This includes development of a company philosophy and approach, and incorporating it into the overall computer system validation program and plans for individual systems that have this capability.

FDA’s 21 CFR Part 11 was enacted in the late 1990s and implementation success across the pharmaceutical and other regulated industries has been mixed. There are very specific limitations that arise when using ER/ES capability, such as the elimination of print capability to prevent users from making decisions based on a paper record as opposed to the electronic record. It also requires very specific identification of users that ensures the person signing the record is the same person whose credentials are being entered and verified by the system. Rule for changing passwords must be rigorously adhered to and the passwords must be kept secure.

It is also critical that the system specify the exact meaning of the signature. It may be that the person conducted the work, recorded the result, reviewed the result, or approved the result. A person may simply be attesting to the fact that they reviewed the work and the signatures, and there was appropriate segregation of duties (i.e., the person recording the result is not the same as either the person reviewing or the person giving final approval).

A company must have specific policies and procedures in place that explicitly state responsibilities and provide guidance for implementing and using ER/ES capability. These must clarify the 21 CFR Part 11 regulation and provide insight as to the way the company interprets their responsibility for meeting it. As FDA continues to evolve and change due to the many factors that influence the regulatory environment, companies must be able to adapt.

New technologies will continue to emerge that will change the way companies do business. While many of these are intended to streamline operations, reducing time and resources, some unintentionally result in added layers of oversight that encumber a computer system validation program and require more time and resources, making the technology unattractive from a cost-benefit perspective.

Why you should attend

FDA requires that all computer systems that handle data regulated by the Agency be validated in accordance with their guidance on computerized systems. This guidance was first issued in 1983, and the main points of focus remain consistent today, despite the number of years that have passed and the technology changes that have taken place.

The guidance was revisited for its application to the medical device industry in the 1990s, as the first issuance addressed pharmaceuticals only. In 1997, 21 CFR Part 11 was issued to address electronic records and signatures, as many FDA-regulated organizations began seeking ways to move into a paperless environment.

This guidance has been modified over the years to make it more palatable to industry, and this includes discretionary enforcement measures, but still remains somewhat confusing. The intent was to avoid creating a huge regulatory compliance cost to industry that was initially preventing companies from embracing the technology.

This seminar will help you understand in detail the application of FDA’s 21 CFR Part 11 guidance on electronic records/electronic signatures (ER/ES) for computer systems subject to FDA regulations. This is critical in order to develop the appropriate validation strategy and achieve the thoroughness required to prove that a system does what it purports to do. It also ensures that a system is maintained in a validated state throughout its entire life cycle, from conception through retirement.

ER/ES capability can vary, and the approach should be based on the specific case and the risk of failing to meet the guidance associated with it.

Who Will Benefit

  • Information Technology Analysts
  • Information Technology Managers
  • QC/QA Managers
  • QC/QA Analysts
  • Clinical Data Managers
  • Clinical Data Scientists
  • Analytical Chemists
  • Compliance Managers
  • Laboratory Managers
  • Automation Analysts
  • Manufacturing Managers
  • Manufacturing Supervisors
  • Supply Chain Specialists
  • Computer System Validation Specialists
  • GMP Training Specialists
  • Business Stakeholders responsible for computer system validation planning, execution, reporting, compliance, maintenance and audit
  • Consultants working in the life sciences industry who are involved in computer system implementation, validation and compliance
  • Auditors Engaged in Internal Inspection

Session 1 (90 Mins):

  • FDA Regulatory Oversight
  • Computer System Validation (CSV)
  • System Development Life Cycle (SDLC) Methodology
  • GAMP 5 Software Categorization
  • System Risk Assessment

Session 2 (90 Mins):

  • 21 CFR Part 11 Compliance (Electronic Records/Electronic Signatures)
  • Security, Access, Change Control and Audit Trail
  • Validation Documentation

Session 3 (90 Mins):

  • 7 Most Common Problems with Validation
  • FDA Audit Preparation

Session 4 (90 Mins):

  • Policies and Procedures
  • Training and Organizational Change Management
  • Industry Best Practices and Common Pitfalls
  • Q&A

Speaker Profile

Carolyn (McKillop) Troiano has more than 35 years of experience in the tobacco, pharmaceutical, medical device and other FDA-regulated industries. She has worked directly, or on a consulting basis, for many of the larger pharmaceutical and tobacco companies in the US and Europe, developing and executing compliance strategies and programs. Carolyn is currently active in the Association of Information Technology Professionals (AITP), and Project Management Institute (PMI) chapters in the Richmond, VA area.

During her career, Carolyn worked directly, or on a consulting basis, for many of the larger pharmaceutical companies in the US and Europe. She developed validation programs and strategies back in the mid-1980s, when the first FDA guidebook was published on the subject, and collaborated with FDA and other industry representatives on 21 CFR Part 11, the FDA’s electronic record/electronic signature regulation.

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Good Documentation Practice Guideline is simple: just write

Good Documentation Practices are the soul of many regulated industries. The FDA, like all other regulatory agencies, makes GDP a central element of its regulations, and bases it on the principle of evidence. For the FDA and other regulatory agencies across the world, what is not documented is nonexistent.

Good Documentation Practices are essential for a number of disciplines. The soul of documentation is, naturally, the written word. What happens when something that happened is not actually written down? It is a work of no practical use, because apart from those that carried out the particular undocumented task; no one else is aware of it. And even when the people who did that task or were witness to it are prone to have their own interpretation and perception of what was done. This is why proof in the form of writing is the most important element of Good Documentation Practices.

goodDocumentationPracticesGuidelines

What to write, and how toGDP should not only be about just writing down; it is about what to write and also, how, meaning, in what manner. If there has been an intervention in any method of manufacture or any other activity in the regulated industries; the change should be noted down in the proper format as prescribed by the FDA. This enables everyone concerned, from the people in the organization to the auditors to the regulatory agencies, to clearly identify what action was carried out, by whom and when. This further leads to a discovery of the impact of the actions. This is the key to determining the effectiveness of the application of the GDP principles in the particular case.

goodDocumentationPracticesGuidelinesThis is why the FDA has very clear-cut requirements and expectations of GDP from the industries it regulates. These clearly explain the method by which to document the said document, the ways of doing it, and what actions to take when the need arises.

Quality Assurance is unthinkable without the application of GDP principles. The main reason for establishing GDP is ensure that the documentation does the following to the record in question:

goodDocumentationPracticesGuidelines
What needs to be documented?Another major element of GDP is to determine what is to be documented. The FDA and other regulatory agencies require the principles of Good Documentation Practices to be applied across a number of activities at different stages. These include:

goodDocumentationPracticesGuidelines

The EMA’s requirements
goodDocumentationPracticesGuidelinesThe EMA also has clear-cut guidelines on Good Documentation Practices. Some of its core requirements relate to

  • Specifications
  • All aspects of the manufacturing including the product’s formulae, the way in which the processing was done, the methods of its packaging, and the extent to which its testing instructions are written down
  • SOPs
  • Protocols
  • Technical agreements

Further, most regulatory agencies have their own requirements with regard to the styling, ways by which the amendments, if any, need to be jotted down, the type of ink to be used, the way in which the review, if any, needs to be entered, and who should put signatures and where, so on. Manufacturers who fall under the purview of respective regulatory agencies need to adhere to these.

And, for other reasons, as wellImplementing Good Documentation Practices is a great idea to have for meeting regulatory requirements, because companies that do not meet these requirements are in a spot of bother about a number of issues. However, in addition to this, there is also the need for maintaining GDP for business reasons, as well. A business that complies with the requirements set out by the FDA or other regulatory agencies in relation to Good laboratory practices, the CFR regulations such as 21 CFR Parts that apply to various industries, and also as required as part of national and global agencies; earns a good name in the market and is considered a reliable company.

 

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FDA approves first commercial product for peanut allergy prevention

FDA approves.jpg

The approach towards preventing peanut allergies has changed dramatically in recent years. Now the US Food and Drug Administration has approved the first commercial product, called Hello, Peanut!, to help inform the public that early peanut introduction and regular consumption can reduce the risk of peanut allergy in young children.

The Hello, Peanut! introduction kit offers convenience in the form of packets of peanut powder blended with oat given in increasing quantities for seven days, as long as children tolerate it well. After which maintenance packets are recommended for use up to three times a week. The introduction kit is $25, and the maintenance kit sells for $20 for eight packets.

The FDA decision was informed by the landmark Learning Early About Peanut Allergy study published in 2015. It showed that high-risk children who regularly consumed peanut in infancy had far fewer peanut allergies by age 5 than their counterparts who avoided peanut over the same span of time. This understanding led to new guidelines published in 2017 by National Institutes of Health about giving peanut to babies to protect against peanut allergy.

Infants who have severe eczema or egg allergy are considered at high-risk of developing a peanut allergy. By offering peanut early in life – between 4-6 months of age – and continuing with regular consumption, we can prevent the onset of peanut allergy in many of these children. High-risk children should see their doctor before parents introduce peanut protein in any form. The physician may decide to do skin or blood testing.  If the test is negative, age-appropriate peanut products can be given at home. However, if a child tests positive, introduction to peanut is done under clinical supervision. If the child is deemed already allergic to peanuts, the guidelines recommend strict avoidance of peanut and ready access to epinephrine auto-injectors.

Read More: http://snip.ly/ktety#http://www.philly.com/philly/health/kids-families/fda-approves-first-commercial-product-for-peanut-allergy-prevention-20170926.html

FDA Breaks New Ground With First Approved Gene Therapy for Cancer

FDA Breaks New Ground With First Approved Gene Therapy for Cancer.jpg

When oncologist Dr. Carl June heard the Food and Drug Administration’s decision to bring the first gene therapy to market in the US, he pinched himself, hard.

“It was so improbable that this would ever be a commercially approved therapy,” he said, voice breaking with emotion.

June was referring to a revolutionary cancer therapy that he helped bring from lab bench to market. Co-developed with the drug giant Novartis, the therapy, CAR-T, genetically alters a patient’s own immune cells to target and destroy cancer cells.

Recently, in a historic decision, the FDA threw their support behind Kymriah (tisagenlecleucel), a “living drug” that is designed to treat blood and bone marrow cancer in children that, even with aggressive chemotherapy, is often lethal.

An entire process rather than a packaged pill, the therapy harvests a patient’s own immune cells—T cells that patrol and destroy abnormal cells—retrains them with extra bits of genetic code, and turns them into torpedoes aimed at cancerous cells once reintroduced into patients’ bodies.

“We’re entering a new frontier in medical innovation with the ability to reprogram a patient’s own cells to attack a deadly cancer,” said FDA Commissioner Dr. Scott Gottlieb in a statement, adding that the therapy is “the first gene therapy available in the United States.”

Read More: http://snip.ly/bunjk#http://www.philly.com/philly/business/fda-advisors-give-a-thumbs-up-to-glaxosmithklines-shingles-vaccine-20170913.html