Refining Processes For The Co Development Of Genome Based Therapeutics And Companion Diagnostic Tests

Many drug developers have examined new strategies for creating efficiencies in their development processes, including the adoption of genomics-based approaches. Genomic data can identify new drug targets for both common and rare diseases, can predict which patients are likely to respond to a specific treatment, and has the potential to significantly reduce the cost of clinical trials by reducing the number of patients that must be enrolled in order to demonstrate safety and efficacy. A key component of the approval of targeted therapeutics is the ability to identify the population of patients who will benefit from treatment, and this has largely hinged on the co-development and co-submission to the FDA of a companion diagnostic test.The co-development process, or the development of the test and drug for the simultaneous submission to FDA, has led to a major alteration in the way that drugs are being developed, with traditionally separate entities-pharmaceutical and diagnostic companies-now working in close collaboration. Refining Processes for the Co-Development of Genome-Based Therapeutics and Companion Diagnostic Tests is the summary of a workshop held by the Roundtable on Translating Genomic-Based Research for Health on February 27, 2013 to examine and discuss challenges and potential solutions for the codevelopment of targeted therapeutics and companion molecular tests for the prediction of drug response. Prior to the workshop, key stakeholders, including laboratory and medical professional societies, were individually asked to provide possible solutions to resolve the concerns raised about co-development of companion diagnostic tests and therapies. Workshop speakers were charged with addressing these solutions in their presentations by providing insight on (1) whether the proposed solutions address the problems described, (2) whether there are other solutions to propose, and (3) what steps could be taken to effectively implement the proposed solutions.

It is with great pleasure that we introduce the first edition of the textbook on “Inorganic Chemistry”. This book further elucidates and clarifies simple socially related concepts needed for pharma students to get through the first course of BP809 ET. This book is a sincere attempt to concepts and vocabulary understandable to students and field experts alike. I have tried to simplify the concepts for ease of grasping even for the first year students. The text was put through great lengths to keep it error-free and convey the subject in a style that is understandable to students. However, any recommendations and helpful criticism would be much appreciated and included in a subsequent edition.

Every patient is unique, and the evolving field of precision medicine aims to ensure the delivery of the right treatment to the right patient at the right time. In an era of rapid advances in biomedicine and enhanced understanding of the genetic basis of disease, health care providers increasingly have access to advanced technologies that may identify molecular variations specific to an individual patient, which subsequently can be targeted for treatment. Known as biomarker tests for molecularly targeted therapies, these complex tests have the potential to enable the selection of the most beneficial treatment (and also to identify treatments that may be harmful or ineffective) for the molecular underpinnings of an individual patient's disease. Such tests are key to unlocking the promise of precision medicine. Biomarker tests for molecularly targeted therapies represent a crucial area of focus for developing methods that could later be applicable to other areas of precision medicine. The appropriate regulatory oversight of these tests is required to ensure that they are accurate, reliable, properly validated, and appropriately implemented in clinical practice. Moreover, common evidentiary standards for assessing the beneficial impact of biomarker-guided therapy selection on patient outcomes, as well as the effective collection and sharing of information related to those outcomes, are urgently needed to better inform clinical decision making. Biomarker Tests of Molecularly Targeted Therapies examines opportunities for and challenges to the use of biomarker tests to select optimal therapy and offers recommendations to accelerate progress in this field. This report explores regulatory issues, reimbursement issues, and clinical practice issues related to the clinical development and use of biomarker tests for targeting therapies to patients. Properly validated, appropriately implemented biomarker tests hold the potential to enhance patient care and improve outcomes, and therefore addressing the challenges facing such tests is critical.

Digital pathology has experienced exponential growth, in terms of its technology and applications, since its inception just over a decade ago. Though it has yet to be approved for primary diagnostics, its values as a teaching tool, facilitator of second opinions and quality assurance reviews and research are becoming, if not already, undeniable. It also offers the hope of providing pathology consultant and educational services to under-served areas, including regions of the world that could not possibly sustain this level of services otherwise. And this is just the beginning, as its adoption by the also rapidly-emerging fields of medical systems biology and 3D tissue imaging indicate. This work describes how digital pathology not only has the potential to dramatically impact medical education and the delivery of health care, but also to exert an immensely positive influence worldwide, including in countries and regions that normally fail to benefit from such technological advances.

This book disentangles the issues in connection with the advancement of Health Technology Assessment (HTA) and its interface with health policy. It highlights the factors that should shape its progress in the near future. Interdisciplinary and critical views from a number of professionals are put together in a prescient order to cast some light and make recommendations as to the next steps HTA should take to be fit for purpose. A wealth of documents dealing with HTA have been published over the last three decades. HTA allegedly is one of the bedrocks of regulation and medical decision making. However, counter vailing visions contend that geographical variations in the role that HTA is actually playing within countries pinpoints specific room for improvement. Given our social preferences, cherry-picking HTA’s features and successes over the last decades moves it away from its possibility frontier. Some of the most noteworthy hindrances that HTA faces, in several countries, to making headway towards its consolidation as an efficient tool for regulation and decision making are as follows: insufficient resources, delays in assessment, inadequate priority setting, regulatory capture, public distrust, actual influence on regulatory decisions, the need for strengthening international cooperation and harmony, the lack of sound and consistent assessments of diagnostic tests, medical devices and surgical innovations and limited dissemination. Time has come for HTA to take a renewed stand. There is a pressing need to submit HTA to in-depth critical scrutiny.

Those involved in the drug development process face challenges of efficiency and overall sustainability due in part to high research costs, lengthy development timelines, and late-stage drug failures. Novel clinical trial designs that enroll participants based on their genetics represent a potentially disruptive change that could improve patient outcomes, reduce costs associated with drug development, and further realize the goals of precision medicine. On March 8, 2017, the Forum on Drug Discovery, Development, and Translation and the Roundtable on Genomics and Precision Health of the National Academies of Sciences, Engineering, and Medicine hosted the workshop Enabling Precision Medicine: The Role of Genetics in Clinical Drug Development. Participants examined successes, challenges, and possible best practices for effectively using genetic information in the design and implementation of clinical trials to support the development of precision medicines, including exploring the potential advantages and disadvantages of such trials across a variety of disease areas. This publication summarizes the presentations and discussions from the workshop.

The sequencing of the human genome and the identification of associations between specific genetic variants and diseases have led to an explosion of genomic-based diagnostic tests. These tests have the potential to direct therapeutic interventions, predict risk or onset of disease, or detect residual disease. As research progresses and an increasing number of associations are found, further tests will be developed that can aid in providing personalized treatment options for patients. However, the adoption of genomic diagnostic tests by health care providers has been limited due to a lack of evidence regarding the clinical utility of many tests. Health funders and practitioners lack the data necessary to distinguish which tests can improve practice or the clinical settings in which tests will provide the greatest value. The Roundtable on Translating Genomic-Based Research for Health held a workshop in November 2010 to determine what evidence is needed and how it is viewed by different stakeholders in order to develop genomic diagnostic tests of clinical value. Genome-Based Diagnostics summarizes the presentations and discussions that took place throughout the workshop. Two presentations, in particular, sparked extensive discussion. One presentation proposed that all genomic diagnostic tests be reviewed and approved by the Food and Drug Administration. The other observed that venture capitalists are no longer investing substantially in the development of genomic diagnostic tests because of a lack of clarity surrounding regulatory and reimbursement pathways. Both presentations suggested the need for major changes in the systems used to develop, regulate, and reimburse genomic diagnostic tests. The report also presents the perspectives of different stakeholders in the development of genomic diagnostic tests. Each stakeholder group has a different set of needs and issues of importance, yet commonalities among them are apparent, such as the need to put patients and health outcomes at the center of discussion and action.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data