Predictive modeling, image analysis, and natural language processing are just a few applications of artificial intelligence in the healthcare industry. AI can increase healthcare delivery’s effectiveness, efficiency, and cost-effectiveness. It can help in diagnostic imaging, including detecting malignancies and conditions like diabetic retinopathy. Additionally, it can help with patient monitoring by keeping track of vital signs or eyeing for any issues. AI may also evaluate vast medical data, including electronic health records, to find patterns and enhance population health management.
Here are some of the cool companies in Healthcare AI for 2023:
Insilico Medicine creates an AI drug development platform to tackle aging-related illnesses, including cancer. For the creation of novel molecular structures for diseases with known and unknown targets, it was a pioneer in the applications of generative adversarial networks (GANs), reinforcement learning, transfer learning, and meta-learning. Unlike other companies in the field, it is currently developing an end-to-end pipeline covering every stage of drug discovery, clinical trial analysis, and digital medicine. Internal drug discovery programs are being pursued by Insilico Medicine in the areas of diabetes, sarcopenia, Parkinson’s disease, Alzheimer’s disease, ALS, fibrosis, Parkinson’s disease, dermatological diseases, and aging. The company introduced a variety of nutraceutical goods through a relationship with Life Extension that was made utilizing sophisticated bioinformatics and deep learning methods. Young.AI is only one of the many consumer-facing applications it offers.
A symptom checker, online doctor consultations, and customized health evaluations are just a few AI-powered health services offered by Babylon, a digital health startup. Using a mobile app, Babylon aims to increase people’s access to and convenience with healthcare. Their symptom checker uses natural language processing (NLP) to comprehend users’ symptoms and offer details on potential illnesses and subsequent actions. Personalized health evaluations employ AI to examine a user’s medical history and offer tailored health recommendations, while virtual consultations let users communicate with doctors using video calls.
Freenome creates blood tests for early cancer diagnosis using AI and genetics. The company’s method entails looking for genetic material in a person’s blood that is shed by cancer cells and can be used to detect cancer early. The tests offered by Freenome are based on a technology known as liquid biopsy, which detects cancer with a straightforward blood test rather than invasive methods like biopsies. By utilizing AI to examine vast volumes of genetic data, the company hopes to better the accuracy of cancer diagnosis and discover cancer early, when it is most treatable. Freenome also creates a platform to track cancer development, recurrence, and treatment response using liquid biopsies and AI.
Zymergen creates innovative materials and chemicals for various industries using automation and AI. By combining machine learning, bioinformatics, and laboratory automation, the company’s technology platform develops novel materials and chemicals with enhanced attributes, such as higher strength, durability, and effectiveness. Large amounts of data from trials and simulations are analyzed using Zymergen’s AI algorithms, which makes it easier to find new substances and molecules with the needed properties.
Insitro employs AI and machine learning to hasten the development of new drugs. The company’s platform uses large-scale data and computational techniques to model diseases, forecast therapeutic efficacy and toxicity and find new drug targets. Insitro also incorporates machine learning and experimental biology to verify the predictions generated by its platform. Large volumes of genetic and molecular data were used to train Insitro’s AI algorithms, enabling them to recognize patterns and relationships in the data that are not immediately obvious to humans. As a result, the business can develop theories about medication targets and mechanisms of action that would not be discovered through conventional techniques.
Exscientia employs AI to hasten the creation of new drugs. The company’s AI-driven platform can design and optimize small-molecule medication candidates for various therapeutic areas. The platform analyses massive volumes of chemical and biological data using machine learning methods, such as deep learning, to forecast the characteristics of new medication candidates and select the most promising ones for further research.
A digital health business called Biofourmis employs wearable devices and artificial intelligence to enhance patient monitoring and care. The business’s platform uses machine learning algorithms to analyze data from wearable sensors and electronic health records, enabling it to identify and anticipate possible health problems like heart failure, stroke, and hospital readmissions. The technology can also remotely monitor patients and notify medical staff in real-time if a patient’s condition deteriorates.
To find novel medications and biomarkers, Metagenomi combines AI with metagenomics. The study of genetic material in a particular environment, including that of bacteria, viruses, fungi, and other microbes, is known as metagenomics. With machine learning algorithms, the company’s platform analyses massive volumes of metagenomic data to uncover new therapeutic targets and forecast the effectiveness of current medications against those targets. The business also uses AI to tailor new medication candidates’ features for particular patient groups or disease subtypes.
Clarify Health Solutions
To increase the efficiency and effectiveness of healthcare delivery, Clarify Health Solutions uses AI. The company’s platform uses machine learning algorithms to examine massive amounts of data from electronic health records (EHRs) and other sources to find patterns and links that could enhance patient outcomes and save healthcare costs. The platform can identify patient populations at risk for particular diseases, forecast which patients would most likely require hospital readmission, and enhance care coordination across various healthcare providers.
A digital health business called Sword Health enhances physical therapy with artificial intelligence and motion capture technology. The company’s software tracks patients’ movements and gives patients and therapists real-time feedback and direction using wearable sensors and machine learning algorithms. The platform can also deliver individualized treatment regimens and track patients’ progress. The technology of Sword Health is based on a wearable motion sensor that records patients’ motions during physical therapy exercises and then analyses them using artificial intelligence (AI) algorithms.
Owkin enhances the discovery and development of new medications and biomarkers using AI and machine learning. To uncover new therapeutic targets and forecast the efficacy of current medications against new targets, the company’s platform analyses vast volumes of medical data, including genetic and imaging data. Additionally, Owkin’s technology can create fresh medication candidates and refine their characteristics for certain patient groups or disease subtypes.
A biotechnology company, Immunai, analyzes single-cell data to comprehend the human immune system using machine learning and artificial intelligence. They are creating a “map” of the human immune system in the hopes that it may discover novel drug development targets, advance knowledge of immune-related disorders, and facilitate more accurate and efficient therapies. Additionally, their method can be used to find new biomarkers for disease detection and treatment response. Immunai is committed to researching and discovering cures for autoimmune disorders, infectious diseases, and cancer.
BenevolentAI, an AI-driven drug discovery business, analyzes massive volumes of data using machine learning and natural language processing to find new drug targets and potential treatments. The company focuses on creating medications for conditions with significant unmet medical needs, including cancer, uncommon disorders, and neurological conditions. To get a deeper understanding of disease biology and therapeutic mechanisms, they employ their technology to evaluate data from many sources, including clinical trial data, scholarly literature, and patent information. The technology developed by BenevolentAI can also be used to optimize drug development and find probable negative effects of medications.
K Health is a technology firm that offers clients individualized healthcare information and services using artificial intelligence. They provide a smartphone app that enables users to schedule appointments, communicate with doctors and other healthcare providers, and do medical information searches. The software also makes individualized health recommendations based on the user’s symptoms and medical background using machine learning. By giving consumers the knowledge and resources they need to make wise decisions about their health, the company hopes to increase healthcare availability and affordability for them.
Pathology, the study of diseases through examining cells and tissues, may now be done more accurately and efficiently because of a technology called PathAI. The technology developed by PathAI is intended to assist pathologists in providing patients with higher-quality care by enabling more precise and consistent diagnoses. They create pathologists’ AI-powered tools that help them analyze images of cells and tissues to diagnose and spot potential problem areas. Their products apply to many different branches of pathology, including histology, digital pathology, and cytology.
A medical technology firm called Caption Health employs artificial intelligence (AI) to boost the precision and effectiveness of ultrasound imaging. They have created software that uses AI to evaluate ultrasound images in real-time and give the clinician immediate feedback. This can help diagnoses be made more accurately, and fewer scans will be required. Additionally, the program can automatically recognize structures and pathology, making the clinician’s analysis of the images more effective. Because the program can be utilized with conventional ultrasound devices, a wider spectrum of healthcare professionals, especially those in isolated or underserved areas, can use it.
A medical technology company called Theator employs machine learning and artificial intelligence (AI) to enhance the effectiveness and performance of surgical procedures. To help surgeons improve their technique and lower the chance of problems, the company has created AI-powered software that can instantly evaluate video footage of operations. Additionally, the program can automatically recognize and highlight critical pathological and structural features in the images, assisting surgeons in better seeing the operative field. The program can be utilized in various surgical specialties and environments because it is made to work with common endoscopic and laparoscopic equipment.
A biotechnology company called Recursion searches for novel medications and treatments using machine learning and artificial intelligence (AI). The business uses AI-driven data analysis and high-throughput biology to quickly find new therapeutic candidates and comprehend disease biology. They evaluate vast amounts of data and create predictions about the potential efficacy of drug candidates using cutting-edge technology like automated imaging, machine learning, and genomics. The company focuses on several therapeutic areas, including fibrosis, cancer, neurodegenerative illness, and rare genetic diseases. Recursion aims to find new pharmacological targets and treatments that can be used in the clinic to improve patient outcomes.
Remedy Health employs artificial intelligence (AI) to enhance the sharing and accessibility of medical information. They create platforms and tools powered by AI to enable companies and healthcare professionals to communicate and share medical data more effectively. Their products can promote patient satisfaction by streamlining clinical workflows, improving care coordination, and more. The technology from Remedy Health can also be used to analyze data from electronic health records (EHRs) and other sources to learn more and improve population health management. Their objective is to make it simpler for healthcare professionals to exchange and access the information they require to offer their patients better care.
Ezra’s healthcare technology firm employs artificial intelligence (AI) to enhance the sharing and accessibility of medical information. They create platforms and tools powered by AI to enable companies and healthcare professionals to communicate and share medical data more effectively. Their products can promote patient satisfaction by streamlining clinical workflows, improving care coordination, and more. Ezra’s technology can also be used to gain knowledge and enhance population health management to analyze data from electronic health records (EHRs) and other sources. Their objective is to make it simpler for healthcare professionals to exchange and access the information they require to offer their patients better care.
Viz.ai analyses medical imaging with artificial intelligence (AI) to increase diagnosis speed and precision. They have created AI-powered software that can analyze MRI and CT scans and other medical imaging in real-time, giving clinicians immediate feedback and direction to help them make better diagnoses and treatment plans. To aid clinicians in spotting possible issues, the software can automatically identify and highlight regions of concern in the images, such as blood clots or brain bleeds. The software from Viz.ai is utilized in various medical fields, including neurology, radiology, and emergency care.
The emergency medical services (EMS) dispatching process is accelerated and made more precise by Corti thanks to artificial intelligence (AI). To help 911 dispatchers make better triage decisions and send the right resources to emergency scenes, they have created AI-powered software to analyze real-time audio recordings of 911 calls. Dispatchers can more easily recognize possible issues thanks to the software’s ability to automatically identify and highlight terms and phrases in the recordings, such as chest pain or difficulty breathing. The emergency medical services (EMS) and emergency departments (ED) can use Corti’s software.
Qventus wants to assist hospitals in both cutting expenses and enhancing patient care. To increase the efficacy and efficiency of hospital operations, Qventus uses artificial intelligence (AI). They have created an artificial intelligence (AI) powered platform that can evaluate data from several hospital systems, such as bed management systems and electronic health records (EHRs), to give hospital employees real-time insights and recommendations. The platform can boost patient flow, reduce ER wait times at ERs, and maximize resource utilization. In addition, it can be used to locate inefficiencies and bottlenecks in the hospital’s operations and offer suggestions for change.
Komodo Health combines analytics and artificial intelligence (AI) to better understand patient journeys, treatment trajectories, and the healthcare system. To enhance patient outcomes and save costs, they create AI-powered analytics platforms to evaluate vast volumes of healthcare data, including electronic health records (EHRs), claims, and patient-generated data. The platform from Komodo Health may also be used to track the care of high-risk patients, identify paths that improve outcomes, and comprehend the effects of treatment on various patient populations. The company’s mission is to assist payers, life sciences businesses, and healthcare providers in making better decisions and enhancing patient care.
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Prathamesh Ingle is a Mechanical Engineer and works as a Data Analyst. He is also an AI practitioner and certified Data Scientist with an interest in applications of AI. He is enthusiastic about exploring new technologies and advancements with their real-life applications
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