10 Ways in which Technology is Driving Better Efficiency in Clinical Trials

1. A Market Research Report on 10 Ways in which Technology is Driving Better Efficiency in Clinical Trials

2. Advanced Technologies Assisting in Conducting Clinical Trials Technologies that are driving digitization in clinical trials Device connectivity and ultra-low-cost IoT Patient recruitment through AI Sensing technologies Mobile technologies Blockchain eSource and electronic health record integration Wearable technologies Patient data capturing Remote monitoring Virtual clinical trials 2

3. Transforming Clinical Trials with the Help of Technology (1/5) New technological innovations are improving the efficiency and productivity of clinical trials using novel outcomes, increasing patient engagement, and reducing patient burden Device connectivity and ultra-lowcost IoT Blockchain ▪ Connected devices are helping overcome the misinterpretation of data when it comes to the impact of drug dose-related side effects, outcomes, and the patient’s general well-being ▪ Blockchain-based solutions are providing more efficient ways of handling the early stages of clinical trials, particularly in relation to recruitment ▪ Ultra-low-cost connectivity components, coupled with direct-to- cloud technologies, such as NB-IoT/LTE-M, are fueling the transformation toward fully connected and digitized clinical trials ▪ As blockchain provides a controlled way of accessing proof of the existence of an entity, it is being used for monitoring the existence of consent ▪ Novartis, with the introduction of the connected BreezHaler, closely monitor patients’ drug intake during clinical trials ▪ These solutions are assisting researchers, sponsors, and regulators in better coordinating the need for re-permission for each batch of patient data corresponding to a particular version of a trial protocol by exchanging consent information and managing it 3

4. Transforming Clinical Trials with the Help of Technology (2/5) Mobile technologies offer the potential to reduce the costs of conducting clinical trials by collecting high-quality information on health outcomes in real-world settings that are relevant to patients and clinicians Sensing Technologies Mobile Technologies ▪ Advanced sensors are becoming smaller, simpler to incorporate, and more useful without interfering with a patient's normal activities that are eventually taking the position of manual inspections and evaluations ▪ Mobile technology is enabling the collection of real-time data regarding activity or movements that may not be detectable at the same frequency using other equipment, such as an accelerometer worn on a limb, waist, or put on the wheelchair, or a sensor built in a smartphone or gaming cell ▪ The development of new materials is also helping to advance the field of sensing technologies, a Korean team created prototype contact lenses that assess blood glucose levels and intraocular pressure using graphene and metal nanowires ▪ Continuous measurement enables early illness progression detection, when treatments may be more potent ▪ This might make it possible to evaluate the success of drug development programs and boost the effectiveness of the trial design ▪ Contactless sensing is playing a key role in how data is collected, with the use of Near-Field Coherent Sensing (NCS) – it is possible to avoid skin contact 4

5. Transforming Clinical Trials with the Help of Technology (3/5) Digital recruitment tools captures opted-in patient information to enable patient recruitment companies to instantly share other trial opportunities that arise in the future Patient recruitment through AI Patient data capturing ▪ The use of AI technology is helping in identifying populations that are suitable for clinical trials by sorting through vast volumes of medical records also additionally, it is evaluating social media posts to pinpoint places where an illness is more common, focusing the search for the suitable cohort ▪ Clinical trial efficiency is increased through expanding patient engagement and improving clinical data, the Internet of Things, virtual reality, machine learning, and smart sensors are further technologies that support improving clinical trials through data collecting ▪ The TDA offers patterns of clinical traits and illness comorbidities, which gave insights into how particular patients will react to treatment or in a clinical study ▪ Clinical trials are centered on patient data since it guides future clinical outcomes and research agendas ▪ The usage of central data hubs and wearable devices is helping to automate data monitoring and collects a variety of information that is difficult to obtain, this data can be statistically monitored by organizations, and important information can theoretically be accessible from various locations ▪ Three subgroups of type 2 diabetes were found by researchers at Mount Sinai Medical Center in New York using Topological Data Analysis (TDA) of genotype and electronic health record data 5

6. Transforming Clinical Trials with the Help of Technology (4/5) Virtual clinical trials have the potential to drive significant digital alterations in clinical research methodologies to create an improved patient-centric ecosystem Remote Monitoring Virtual Clinical Trial ▪ Remote monitoring in clinical trials is a comprehensive, cutting- edge digital technology that enables a flexible on-site/off-site approach to research oversight ▪ Fully virtual or decentralized trials use technology and procedures including eConsent, telemedicine, Electronic Clinical Outcome Assessment (eCOA), Remote Patient Monitoring (RPM), mobile health (mHealth), wearables, and digital biomarker collecting to perform every aspect of the study remotely ▪ Because there are fewer site visits necessary and more patients with mobility challenges, travel concerns, and chronic and incapacitating illnesses can participate in the study, remote monitoring lessens the load on the patients ▪ Virtual clinical trials leverage the power of telehealth/digital technology by including virtual patient monitoring, wearable medical devices, remote SDV, etc. to conduct safe and improved clinical trial research. These virtual trials are patient- centric, cost-effective, and easy to manage. ▪ During site inspections, it enables on-site monitors to have strategic conversations and work out issues, the monitor can watch processes and address protocol violations rather than reading papers while sitting in a room 6

7. Transforming Clinical Trials with the Help of Technology (5/5) Using wearable health devices is reducing the need for clinical visits, giving participants a greater degree of independence, which may in turn increase the likelihood that patients will or can enroll in a trial eSource and electronic health record integration Wearable technologies ▪ Through machine learning, artificial intelligence, and natural language processing tools, EHR data is now “read” and mapped directly into eSource and data collection databases ▪ The integration of wearable health monitors with smartphones now offers increasing capabilities to collect and store health data in real-time ▪ This ability to pull data directly from the EHR to populate Electronic Case Report Forms (eCRFs) is resulting in a far more efficient clinical trial model ▪ An increasing number of pharmaceutical and biotechnology sponsors are already using wearables to realize the potential benefits ▪ With the adoption of EHR integration technology it is no longer necessary to read a patient's chart and then manually enter the necessary data into eCRFs thus reducing the requirement for clinical research associates to physically travel to the site to audit the eCRF data against the EHR because the data is electronically sent straight from the EHR into the eCRF ▪ GlaxoSmithKline used Apple ResearchKit in a study for rheumatoid arthritis called PARADE, which was supported by an iPhone app, this was the first time that a pharmaceutical company had used the open-source software framework to conduct clinical research 7

8. Who should buy this report? HealthTech Companies MedTech Players Other Lifesciences Companies Pharmaceutical Players Digital Health Entities

9. Topics of Upcoming Reports Digital Therapeutics Regulatory Process, Updates and Trends Will the Expiry of Humira Market Exclusivity and Entry of its Biosimilars Move the Needle in BioPharma Market? Cost of this report: $2,500 From the Fringes to the Forefront: mRNA is here to Transform Global Health Melting the Iron Triangle: 10 Healthcare Players aiming Beyond Health Equality to Conquer Health Equity Annual Subscription: $125,000 $60,000 (Includes a total of 50 reports) Robotics: Embarking a New Era in Surgical Innovations Metaverse: Paving the way for Health 4.0 Healthcare Future Outlook 2023 Patient Engagement- a New Standpoint on Care that is Patient-Centered E-Rx, the Digital Version of Prescription Improvising the Chances of Better Patient Outcomes www.insights10.com Integration of Healthcare Systems with Big Data and Data Silos

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11. Research Methodology Insights 10’s research methodology delves deeper into the market, covering the macro and micro aspects of the industry. We identify the key growth drivers, opportunities, and restraints that might promote or hinder the future industry growth along with an expansive overview of the competitive landscape to help our clients make informed strategic decisions We implement a mix of primary and secondary research for our market estimate and forecast. The secondary research forms the initial phase of our study where we conduct extensive data mining, referring to verified data sources such as independent studies, government and regulatory published material, technical journals, trade magazines, and paid data sources For forecasting, the following parameters are considered: ❑ Market drivers and restraints along with their current and expected impacts ❑ Technological scenario and expected developments ❑ End use industry trends and dynamics ❑ Trends in the consumer behavior ❑ Regulatory scenario and expected developments ❑ Current capacity and expected capacity additions up to 2030 We assign weights to these parameters and quantify their market impacts using the weighted average analysis to derive the expected market growth rate We appoint data triangulation strategies to explore different areas of the market. Our qualitative and quantitative assessments are time- sensitive, reflecting the most recent value and volume of the market across regions All our estimates and forecasts are verified through exhaustive primary research with the Key Industry Participants (KIPs) Currency used in the report is the US dollar (USD), with the market size indicated in USD million/billion (Mn/Bn) ▪ ▪ ▪ ▪ ▪ ▪ ▪ 11 A Sample Report on Singapore Physiotherapy Market Analysis I Confidential

12. Analysis Methodology Our Analysis Methodology involves three critical stages: Market Data Analysis & Statistical Model Interpretation & Presentation Data Collection Analysis & Interpretation Market Trends Secondary Research Market Sizing & Analysis Insights Primary Research Presentation & Reporting Data Triangulation & Validation 12 A Sample Report on Singapore Physiotherapy Market Analysis I Confidential

13. Data Triangulation & Data Validation Top Down Approach Final Market Size Final Market size break up to rest of segmentation Validation from Primary Interview Arriving at market size of each segment Summarization of revenue generated from companies to arrive at total market size Validation from Primary Interview Revenue generated by products & services offered by companies Final Summary Bottom Up Approach 13 A Sample Report on Singapore Physiotherapy Market Analysis I Confidential

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25. Project Leadership Team Dr. Purav Gandhi Founder & CEO Mukesh Nayak Head - Marketing Ritu Baliya Engagement Manager Atharva Bahad Consultant Purav is a physician and an entrepreneur with 12+ years of experience in Healthcare & Life Sciences industry spanning across strategy, market access, health informatics and RWE, digital health, analytics and data science. Purav studied medicine from Gujarat University and also completed his MBA from IIM-Kozhikode. Purav started his career with Deloitte working on strategy consulting engagements and also co- founded ConvergeHealth by Deloitte. Mukesh is an engineering graduate with an MBA in Marketing. He is a seasoned healthcare market research & marketing professional with a progressive experience of over 20 years in Life Sciences, Pharma and Medical Device sectors. With an in-depth understanding of primary research, he has conducted hundreds of interviews of various stakeholders in pharma & healthcare & completed several research projects across life sciences industry. Ritu has over 6 years of experience in strategy building, market assessments, market sizing, and RWE for global MNC healthcare & biopharma clients across diff. markets (America, Europe, Africa, APAC and Middle East). Her areas of expertise include: Indentifying emerging trends in life sciences industry, Competitor landscape assessment, Disease opportunity assessments etc. She is a pro in secondary and primary research with a deep domain expertise in healthcare sector. Atharva is a B.Tech (Biotechnology) and MBA in Hospital and Health Management with 2 years of experience working in consulting and project management in healthcare and Non-Government organizations. Conducted comprehensive research and market sizing exercise to understand the business potential for modern digital trends. Conducted comprehensive secondary research for the subjects including the UK Mobility Aids market, Brazil’s Ophthalmology market, etc.

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