{"id":22752,"date":"2026-02-09T13:26:44","date_gmt":"2026-02-09T07:56:44","guid":{"rendered":"https:\/\/www.delveinsight.com\/blog\/?p=22752"},"modified":"2026-03-05T13:05:42","modified_gmt":"2026-03-05T07:35:42","slug":"top-artificial-intelligence-based-healthcare-mobile-apps","status":"publish","type":"post","link":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps","title":{"rendered":"Top Artificial Intelligence-Based Healthcare Mobile Apps and Their Use Cases"},"content":{"rendered":"\n

The role and application of Artificial Intelligence have grown at an immense pace in recent years. Globally, several companies, including large & small scale businesses, education, retail, and telecommunications, among others, are actively exploring opportunities to leverage the potential of AI in their organizations and improve service delivery. Government agencies are also using AI to design better policies, make accurate decisions, improve communication and engagement, and enhance the speed and quality of public services. Similarly, in the healthcare industry, companies and healthcare organizations are actively implementing new AI-based tools and applications to improve care delivery and enhance the user experience. AI’s ability to analyze large datasets is crucial to its potential in the healthcare sector. Some key applications of AI, such as drug commercialization<\/a> and drug discovery<\/a>, are gaining momentum. Growing adoption is improving health outcomes and enhancing the organization\u2019s efficiency and effectiveness. Nowadays, demand for Artificial Intelligence-Based Healthcare Mobile Apps is rising and is unprecedented. The number of Artificial Intelligence-Based Healthcare Mobile Apps in the market has grown significantly in recent years. New apps are being developed and launched by MedTech and HealthTech to address diverse needs.<\/p>\n\n\n\n

Healthcare apps with artificial intelligence (AI) can be used to understand the nuances of the case and recommend an appropriate course of action. With rising awareness, Artificial Intelligence-Based Healthcare Mobile Apps<\/a> are gaining popularity and attaining significant demand across different segments of society. Available apps can perform specific queries for users related to screening, diagnosis, and education. They can perform specific processes and support tasks that vary widely. The broad adoption of AI apps in healthcare is driven by the increasing volume and complexity of health data and growing awareness and demand.<\/p>\n\n\n\n

Top Artificial Intelligence-Based Healthcare Mobile Apps in the Market<\/strong><\/h2>\n\n\n\n

Artificial intelligence (AI) is not a single technology but a combination of advanced computational techniques, including machine learning, natural language processing, computer vision, and predictive analytics. These AI healthcare applications have immediate and scalable relevance across the healthcare ecosystem, including patient care, diagnostics, remote monitoring, administrative automation, and pharmaceutical research. AI has the potential to fundamentally transform healthcare delivery, enabling faster diagnoses, personalized treatment recommendations, early disease detection, and cost-effective clinical trials. Several AI medical diagnosis apps have demonstrated performance comparable to or exceeding that of human clinicians in areas such as cancer detection, radiology interpretation, dermatology screening, and chronic disease management. Moreover, AI-powered health apps are increasingly supporting physicians and patients through decision support, virtual consultations, and real-time health monitoring, making them a cornerstone of modern digital healthcare. <\/p>\n\n\n\n

Some of the best AI healthcare apps currently making a significant impact in the healthcare industry include:<\/em><\/p>\n\n\n\n

Noom<\/strong><\/h3>\n\n\n\n

Noom is an AI-powered health and wellness app designed for individuals seeking sustainable weight loss and healthier lifestyle habits. The app analyzes user-specific parameters such as weight, age, height, activity level, and personal goals to deliver personalized AI-driven health coaching. Its weight-loss program is designed by psychologists and backed by behavioral science. The app leverages AI and behavioral psychology to promote long-term habit formation rather than short-term dieting, helping users adopt healthier eating and exercise patterns. Noom is widely recognized as one of the best AI health apps for lifestyle management and preventive care.<\/p>\n\n\n\n

Buoy<\/strong><\/h3>\n\n\n\n

Buoy is an AI-based intelligent symptom checker and health diagnosis app that helps users understand possible causes of their symptoms. Using conversational AI and probabilistic reasoning, the app asks adaptive follow-up questions to refine symptom analysis. Although Buoy does not provide a final medical diagnosis, it offers accurate AI-powered health insights and care recommendations, guiding users toward appropriate next steps such as self-care, telemedicine, or in-person consultation. It is among the most trusted AI health diagnosis apps available today.<\/p>\n\n\n\n

Hucu.ai<\/strong><\/h3>\n\n\n\n

Hucu.ai is a HIPAA-secure, AI-driven healthcare communication app that streamlines collaboration among healthcare providers, staff, patients, and partner organizations. The app enables secure sharing of text messages, documents, images, videos, and emojis via an encrypted cloud infrastructure. Its AI-enabled analytics and real-time risk rating system improve care coordination, reduce communication gaps, and enhance patient outcomes. Hucu.ai is widely used by hospitals and care teams as an AI app for doctors and healthcare professionals.<\/p>\n\n\n\n

SkinVision<\/strong><\/h3>\n\n\n\n

SkinVision is a regulated AI medical app for skin health monitoring and early cancer detection. Using computer vision and machine learning, the app allows users to scan moles and skin lesions using their smartphone camera. The AI algorithm assesses risk indicators associated with common skin cancers, helping users decide when medical attention is required. While it does not replace a dermatologist\u2019s diagnosis, SkinVision is a leading AI healthcare application for early detection and preventive care.<\/p>\n\n\n\n

Sensely<\/strong><\/h3>\n\n\n\n

Sensely is an AI-powered virtual nurse and healthcare chatbot platform that uses empathy-driven conversational AI. Acting as a digital nursing assistant, the app checks patient symptoms, records vital signs, and transmits insights to physicians in real time. Sensely enhances remote healthcare delivery by enabling continuous patient engagement, preventive alerts, and education. It is increasingly adopted by enterprises and insurers as a healthcare AI app for virtual care and patient monitoring.<\/p>\n\n\n\n

\"Top<\/figure>\n\n\n\n

Binah.ai<\/strong><\/h3>\n\n\n\n

Binah.ai is an AI-based health monitoring and medical digital intelligence platform that enables contactless measurement of vital signs using standard cameras on smartphones, tablets, or laptops. The platform delivers real-time monitoring through its SDK, which can be integrated into existing healthcare apps. Key AI-measured biomarkers include heart rate, blood pressure, oxygen saturation, respiratory rate, heart rate variability, stress levels, and PRQ, making Binah.ai one of the most advanced AI health tracker and monitoring apps in the market.<\/p>\n\n\n\n

Ada AI Doctor<\/strong><\/h3>\n\n\n\n

Ada is a globally recognized AI doctor app and medical diagnosis platform designed as a personal health companion. Using conversational AI and a vast medical knowledge base, Ada helps users understand symptoms and potential underlying causes. The app supports 24\/7 AI-driven symptom assessment and enables remote telemedicine consultations with licensed doctors, positioning it as one of the best AI apps for medical questions and diagnosis.<\/p>\n\n\n\n

Healthily<\/strong><\/h3>\n\n\n\n

Healthily is the world\u2019s first medically approved AI self-care and healthcare guidance app<\/a>. The platform combines responsive AI tools with evidence-based medical insights curated by doctors and healthcare professionals. Its AI doctor functionality provides personalized health recommendations, symptom tracking, medication guidance, and possible diagnoses, making it a highly trusted AI healthcare app for proactive health management.<\/p>\n\n\n\n

Aaptiv<\/strong><\/h3>\n\n\n\n

Aaptiv is an AI-powered fitness and health app that delivers personalized, audio-based workout programs. Created by certified personal trainers, the app adapts workouts based on user goals, fitness level, preferences, and available equipment. Gamification features such as badges, progress tracking, and motivational feedback enhance user engagement, positioning Aaptiv among the best AI health apps for fitness and wellness.<\/p>\n\n\n\n

MyPlate<\/strong><\/h3>\n\n\n\n

MyPlate is an AI-based nutrition and health tracking app focused on weight loss and lifestyle improvement. The app tracks calorie intake, macronutrients, selected micronutrients, and energy expenditure through exercise. AI-driven insights help users meet dietary goals, monitor real-time progress, and earn achievement badges, making MyPlate a popular AI healthcare app for nutrition management across iOS, Android, and wearable devices.<\/p>\n\n\n\n

MedGPT<\/strong><\/h3>\n\n\n\n

MedGPT is a medical AI app that acts as a personal AI healthcare assistant, giving users quick access to reliable information on medications, diseases, and health conditions. It uses conversational AI (e.g., GPT-based models) to answer queries and support health education, making it a useful AI medical app for laypersons seeking health insights. <\/p>\n\n\n\n

DoctorsApp<\/strong><\/h3>\n\n\n\n

DoctorsApp is an AI-powered medical app that combines AI-based symptom checking with instant access to doctors, personalized treatment plans, and streamlined appointments. It\u2019s especially useful for people who want both AI health guidance and professional medical consultation through one platform. <\/p>\n\n\n\n

Babylon Health<\/strong><\/h3>\n\n\n\n

Babylon Health delivers an AI-driven chatbot and telemedicine service that helps users assess symptoms, ask health questions, and if needed, connect with clinicians. It blends AI symptom analysis with real clinical support. <\/p>\n\n\n\n

Key Analysis and Perspective on AI-Based Healthcare Mobile Apps<\/strong><\/h2>\n\n\n\n

Healthcare systems can benefit immensely from the adoption of artificial intelligence, and AI-based healthcare<\/a> mobile apps are increasingly proving their value across clinical, operational, and patient-engagement workflows. At present, most AI healthcare apps are capable of performing routine yet time-consuming functions such as symptom triage, appointment scheduling, documentation support, patient follow-ups, and preliminary health assessments. These capabilities free up clinicians\u2019 schedules, reduce the administrative burden, and enable healthcare organizations and physicians to interact more efficiently and cost-effectively with patients.<\/p>\n\n\n\n

With rapid technological advancements, AI apps in the healthcare market are expected to move beyond basic automation toward advanced predictive, preventive, and personalized care applications. The vast volume of real-time data generated by AI health apps, wearable integrations, and remote monitoring tools enhances data accessibility and clinical visibility, enabling medical practitioners to identify early warning signs, personalize treatment pathways, and take proactive preventive measures to reduce disease incidence. Similarly, AI-based medical diagnosis apps allow faster and more accurate clinical decision-making by leveraging real-time data, pattern recognition, and evidence-based insights.<\/p>\n\n\n\n

AI-based healthcare apps also significantly reduce administrative errors, improve workflow efficiency, and optimize the use of critical healthcare resources, leading to improved operational outcomes and reduced costs. However, despite these advantages, AI systems still require continuous human oversight, as they may face data quality limitations, algorithmic bias, interoperability challenges, and vulnerabilities to increasingly sophisticated cyberattacks. Building trust, ensuring data privacy, regulatory compliance, and clinical validation remain key challenges that must be addressed for widespread adoption.<\/p>\n\n\n\n

Given the accelerating pace of AI innovation and the growing interest from healthcare providers, technology firms, and startups, AI healthcare apps<\/a> are expected to play a central role in supporting evidence-based decision-making, remote care delivery, and population health management in the coming years. Overall, Artificial Intelligence-based mobile apps in the healthcare sector are poised to have a transformative and long-lasting impact on healthcare delivery and patient outcomes, and despite existing obstacles and limitations, their adoption is expected to grow steadily as technology matures and trust in AI-driven healthcare solutions increases.<\/p>\n\n\n\n

FAQs<\/strong><\/h2>\n\n\n\n
Can AI healthcare apps replace traditional doctors?<\/strong><\/strong>

AI healthcare apps cannot replace traditional doctors, but they play a crucial supportive role in modern healthcare delivery. These apps assist with symptom assessment, preliminary diagnosis, health monitoring, and administrative tasks. Clinical judgment, ethical decision-making, and complex case management still require qualified healthcare professionals, making AI a complementary tool rather than a replacement.<\/p> <\/div>

What are the key applications of AI in healthcare mobile apps?<\/strong><\/strong>

AI-based healthcare mobile apps are widely used for symptom checking, medical diagnosis support, virtual consultations, remote patient monitoring, fitness and nutrition tracking, mental health support, drug discovery insights, and administrative automation. They also support preventive care, personalized treatment recommendations, and population health management through real-time data analysis.<\/p> <\/div>

What are the major benefits of AI-based healthcare mobile apps?<\/strong><\/strong>

The major benefits include improved diagnostic accuracy, faster clinical decision-making, reduced administrative burden, cost efficiency, enhanced patient engagement, personalized healthcare delivery, and better health outcomes. AI apps also enable 24\/7 access to health guidance and remote care, improving healthcare accessibility across regions.<\/p> <\/div>

What challenges are associated with AI healthcare mobile apps?<\/strong><\/strong>

Key challenges include data privacy and security concerns, algorithm bias, lack of transparency in AI decision-making, regulatory compliance issues, interoperability with existing healthcare systems, and vulnerability to cyberattacks. Additionally, continuous human oversight and clinical validation are required to ensure safe and reliable AI deployment.<\/p> <\/div>

How do AI healthcare apps ensure data security and privacy?<\/strong><\/strong>

Most AI healthcare apps adopt HIPAA-compliant frameworks, end-to-end encryption, secure cloud storage, anonymization of patient data, and role-based access controls. However, regulatory standards vary by region, and ensuring compliance with local data protection laws remains a critical responsibility for app developers and healthcare providers.<\/p> <\/div>

What are some of the top AI-based healthcare mobile apps in the market?<\/strong><\/strong>

Some of the leading AI healthcare mobile apps include Noom, Buoy, Hucu.ai, SkinVision, Sensely, Binah.ai, Ada AI Doctor, Healthily, Aaptiv, MyPlate, MedGPT, DoctorsApp, and Babylon Health. Each app addresses different healthcare needs such as diagnostics, wellness, communication, and remote monitoring.<\/p> <\/div>

Who are the leading companies in the AI healthcare mobile app market?<\/strong><\/strong>

Leading companies and innovators include Ada Health, Babylon Health, Your.MD, Sully.ai, HealthifyMe, and several emerging HealthTech and MedTech startups. In addition, technology giants such as Amazon, Nvidia, Microsoft, Apple, Google, Oracle, Salesforce, and Palantir are making significant investments in AI-driven healthcare solutions.<\/p> <\/div>

What is the future outlook for AI-based healthcare mobile apps?<\/strong><\/strong>

The future outlook is highly promising, driven by rapid advancements in AI algorithms, growing adoption of wearable devices, expansion of telemedicine, and increasing demand for personalized healthcare. AI healthcare apps are expected to play a central role in predictive, preventive, and precision medicine, transforming global healthcare systems over the next decade.<\/p> <\/div>

Are AI healthcare apps regulated?<\/strong><\/strong>

Yes, many AI healthcare apps are subject to medical device regulations, data protection laws, and healthcare compliance standards, depending on their functionality and region of operation. Regulatory bodies increasingly require clinical validation, transparency, and explainability of AI algorithms to ensure patient safety.<\/p> <\/div> <\/div>\n","protected":false},"excerpt":{"rendered":"

The role and application of Artificial Intelligence have grown at an immense pace in recent years. Globally, several companies, including large & small scale businesses, education, retail, and telecommunications, among others, are actively exploring opportunities to leverage the potential of AI in their organizations and improve service delivery. Government agencies are also using AI to […]<\/p>\n","protected":false},"author":6,"featured_media":22755,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_editorskit_title_hidden":false,"_editorskit_reading_time":6,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":""},"categories":[17],"tags":[1837,2385,20689,10106,18831],"industry":[17226],"therapeutic_areas":[17242,17237,17240,17557,18720,17506,17411],"class_list":["post-22752","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","tag-artificial-intelligence","tag-artificial-intelligence-ai","tag-artificial-intelligence-apps","tag-artificial-intelligence-in-healthcare","tag-healthcare-apps","industry-medical-devices","therapeutic_areas-cardiovascular-diseases","therapeutic_areas-dermatology","therapeutic_areas-endocrinology-and-metabolic-disorders","therapeutic_areas-male-health","therapeutic_areas-nutritional-disorders-and-weight-loss","therapeutic_areas-sleep-disorders","therapeutic_areas-womens-health"],"acf":[],"yoast_head":"\nTop 10 Artificial Intelligence-Based Healthcare Mobile Apps<\/title>\n<meta name=\"description\" content=\"The demand and application of Artificial Intelligence-Based Healthcare Mobile Apps is growing. 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Additionally, continuous human oversight and clinical validation are required to ensure safe and reliable AI deployment.","inLanguage":"en-US"},"inLanguage":"en-US"},{"@type":"Question","@id":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623436184","position":5,"url":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623436184","name":"How do AI healthcare apps ensure data security and privacy?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Most AI healthcare apps adopt HIPAA-compliant frameworks, end-to-end encryption, secure cloud storage, anonymization of patient data, and role-based access controls. However, regulatory standards vary by region, and ensuring compliance with local data protection laws remains a critical responsibility for app developers and healthcare providers.","inLanguage":"en-US"},"inLanguage":"en-US"},{"@type":"Question","@id":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623451480","position":6,"url":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623451480","name":"What are some of the top AI-based healthcare mobile apps in the market?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Some of the leading AI healthcare mobile apps include Noom, Buoy, Hucu.ai, SkinVision, Sensely, Binah.ai, Ada AI Doctor, Healthily, Aaptiv, MyPlate, MedGPT, DoctorsApp, and Babylon Health. Each app addresses different healthcare needs such as diagnostics, wellness, communication, and remote monitoring.","inLanguage":"en-US"},"inLanguage":"en-US"},{"@type":"Question","@id":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623463163","position":7,"url":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623463163","name":"Who are the leading companies in the AI healthcare mobile app market?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Leading companies and innovators include Ada Health, Babylon Health, Your.MD, Sully.ai, HealthifyMe, and several emerging HealthTech and MedTech startups. In addition, technology giants such as Amazon, Nvidia, Microsoft, Apple, Google, Oracle, Salesforce, and Palantir are making significant investments in AI-driven healthcare solutions.","inLanguage":"en-US"},"inLanguage":"en-US"},{"@type":"Question","@id":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623476493","position":8,"url":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623476493","name":"What is the future outlook for AI-based healthcare mobile apps?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"The future outlook is highly promising, driven by rapid advancements in AI algorithms, growing adoption of wearable devices, expansion of telemedicine, and increasing demand for personalized healthcare. AI healthcare apps are expected to play a central role in predictive, preventive, and precision medicine, transforming global healthcare systems over the next decade.","inLanguage":"en-US"},"inLanguage":"en-US"},{"@type":"Question","@id":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623491818","position":9,"url":"https:\/\/www.delveinsight.com\/blog\/top-artificial-intelligence-based-healthcare-mobile-apps#faq-question-1770623491818","name":"Are AI healthcare apps regulated?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Yes, many AI healthcare apps are subject to medical device regulations, data protection laws, and healthcare compliance standards, depending on their functionality and region of operation. Regulatory bodies increasingly require clinical validation, transparency, and explainability of AI algorithms to ensure patient safety.","inLanguage":"en-US"},"inLanguage":"en-US"}]}},"author_meta":{"display_name":"DelveInsight","author_link":"https:\/\/www.delveinsight.com\/blog\/author\/arawat"},"featured_img":"https:\/\/assets.delveinsight.com\/blog\/wp-content\/uploads\/2023\/05\/17172359\/Top-Artificial-Intelligence-Based-Healthcare-Mobile-Apps-and-Their-Use-Cases-300x187.png","coauthors":[],"tax_additional":{"categories":{"linked":["<a href=\"https:\/\/www.delveinsight.com\/blog\/articles\/\" class=\"advgb-post-tax-term\">Articles<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">Articles<\/span>"]},"tags":{"linked":["<a href=\"https:\/\/www.delveinsight.com\/blog\/articles\/\" class=\"advgb-post-tax-term\">artificial intelligence<\/a>","<a href=\"https:\/\/www.delveinsight.com\/blog\/articles\/\" class=\"advgb-post-tax-term\">artificial intelligence (AI)<\/a>","<a href=\"https:\/\/www.delveinsight.com\/blog\/articles\/\" class=\"advgb-post-tax-term\">Artificial Intelligence Apps<\/a>","<a href=\"https:\/\/www.delveinsight.com\/blog\/articles\/\" class=\"advgb-post-tax-term\">Artificial intelligence in healthcare<\/a>","<a href=\"https:\/\/www.delveinsight.com\/blog\/articles\/\" class=\"advgb-post-tax-term\">Healthcare Apps<\/a>"],"unlinked":["<span class=\"advgb-post-tax-term\">artificial intelligence<\/span>","<span class=\"advgb-post-tax-term\">artificial intelligence (AI)<\/span>","<span class=\"advgb-post-tax-term\">Artificial Intelligence Apps<\/span>","<span class=\"advgb-post-tax-term\">Artificial intelligence in healthcare<\/span>","<span class=\"advgb-post-tax-term\">Healthcare Apps<\/span>"]}},"comment_count":"0","relative_dates":{"created":"Posted 3 months ago","modified":"Updated 2 months ago"},"absolute_dates":{"created":"Posted on Feb 9, 2026","modified":"Updated on Mar 5, 2026"},"absolute_dates_time":{"created":"Posted on Feb 9, 2026 1:26 pm","modified":"Updated on Mar 5, 2026 1:05 pm"},"featured_img_caption":"Top Artificial Intelligence-Based Healthcare Mobile Apps and Their Use Cases","series_order":"","_links":{"self":[{"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/posts\/22752","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/comments?post=22752"}],"version-history":[{"count":5,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/posts\/22752\/revisions"}],"predecessor-version":[{"id":34646,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/posts\/22752\/revisions\/34646"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/media\/22755"}],"wp:attachment":[{"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/media?parent=22752"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/categories?post=22752"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/tags?post=22752"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/industry?post=22752"},{"taxonomy":"therapeutic_areas","embeddable":true,"href":"https:\/\/www.delveinsight.com\/blog\/wp-json\/wp\/v2\/therapeutic_areas?post=22752"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}