Latest news with #OpenEvidence
New York Post
28-07-2025
- Business
- New York Post
An AI founder spent $38.2M for a Florida penthouse — because he predicts values will soar in the future
Daniel Nadler, founder of the Google-backed medical AI company OpenEvidence, has purchased a $38.2 million triplex penthouse at the Surf Club, Four Seasons Private Residences in Surfside, Florida, marking his first real-estate acquisition in the US. The deal closed off-market, with Nadler paying cash for the fully furnished, oceanfront residence, according to the Wall Street Journal. The roughly 6,000-square-foot home includes five bedrooms, some 2,000 square feet of terrace space and a rooftop deck with an infinity-edge pool overlooking the Atlantic. 8 Daniel Nadler, the 42-year-old tech entrepreneur behind Google-backed medical AI startup OpenEvidence, has paid $38.2 million in cash for a triplex penthouse at the Surf Club, Four Seasons Private Residences in Surfside, Florida. dbox 8 Previously living in the hotel to simplify his life while building his $3.5 billion company, Nadler was drawn to the idea of a permanent residence there after learning units were for sale. The development, as seen in this rendering, offers posh settings. The Four Seasons 'It actually just feels almost like one of those Venetian palazzos, but in the sky,' Nadler told the Journal. The seller, an entity tied to Claire and Anthony Florence, had acquired the property for $29.35 million in 2022, according to public records. They could not be reached for comment. Ximena Penuela of Fort Realty handled both sides of the transaction. Nadler, 42, moved to Miami earlier this year and had been staying at the adjoining Four Seasons Hotel, which made its heralded opening there less than a decade ago. 'I didn't want the overhead of dealing with houses and all of the stuff that comes with houses,' he said. 'If I could wake up at 4 a.m. and just order room service — this is so perfect.' 8 The roughly 6,000-square-foot, five-bedroom home — with 2,000 square feet of terraces and a rooftop infinity pool — wasn't publicly listed when he snapped it up. But as this rendering shows, residents at the development live quite large. CHRISTIAN HORAN PHOTOGRAPHY 8 Calling it 'a Venetian palazzo in the sky,' Nadler said he sees the property appreciating significantly. dbox 8 Nadler bought the residence, filled with amenities, from Claire and Anthony Florence, who had purchased it for $29.35 million in 2022. dbox The idea of living in a hotel, he added, was partly inspired by inventor Nikola Tesla, who spent his final years residing in a New York hotel. 'It sounds completely insane, but there's precedent,' Nadler said. The penthouse was not publicly listed when it caught his attention, but Nadler said he was eager to move quickly. 'I wanted to pounce on it,' he said, believing the property will appreciate substantially. 'Whatever I paid, I think it will be double that in five years.' 8 Originally from Canada, Nadler also co-founded Kensho Technologies, which sold for $550 million in 2018. Daniel Nadler/LinkedIn 8 Nadler sees Miami's business-friendly climate and hotel-like amenities — including room service — as key drivers of the market. CHRISTIAN HORAN PHOTOGRAPHY 8 The deal marks his first US real estate purchase, and he stands to get quite the treat. As for negotiations, Nadler said there were none. 'He said that's what he wanted, and I said OK.' Originally from Canada — as is the Four Seasons brand — Nadler co-founded Kensho Technologies, which sold for $550 million in 2018. His current venture, OpenEvidence, is valued at $3.5 billion. OpenEvidence was created to help physicians efficiently sort through a copious amount of medical research information. Nadler said he was drawn to Florida's pro-business climate and is bullish on the Miami market, which he believes will be reflected in future property values.
Forbes
28-07-2025
- Health
- Forbes
OpenEvidence's Meteoric Rise Is Huge For Doctors
Medical research and science has never been easier to access. OpenEvidence has raised hundreds of millions of dollars. In its most recent funding round, it raised a $210 million Series B from prominent investors such as Google Ventures and Kleiner Perkins, bringing the company's valuation to nearly $3.5 billion. The company's goal is straightforward and incredibly ambitious: to collate the entire corpus of medical knowledge and research developments in a way that is easily accessible to physicians and thereby, improve health outcomes. The service is aiming to provide a similar 'touch and feel' as other generative AI services such as Chat GPT or Google's Gemini—except, its target audience is primarily doctors. Medical science is a rapidly evolving field with a perpetually expanding sea of knowledge, especially as research and development across the fields of disease, therapeutics and human sciences continue to grow. In fact, as Sequoia Capital notes, 'a new PubMed article [which is often the flagship resource for peer-reviewed science studies]The value of this type of technology is increasingly being recognized. The latest models for OpenAI's ChatGPT (GPT 4.1 and o3) have displayed incredible efficacy in taking command of medical knowledge; in May, the company published its work with HealthBench, proposing a rubric for model performance in healthcare and also indicating that GPT's latest models performed at par or even better than standard physician evaluations. Even Google's Gemini family of models has made significant progress in this space; its MedLM suite, for example, is a highly tuned model that can aid the entire healthcare workflow, ranging from answering medical questions to deciphering unstructured health data. Why is all of this important? There are a few different reasons. First and foremost, this technology is aiming to democratize medical knowledge in a way that is easy to access. Furthermore, it comes at a time when the healthcare system, and its respective workforce, is facing unprecedented headwinds. Studies have repeatedly indicated that physician burnout and attrition are incredibly concerning problems for health systems and organizations of all sizes; physicians simply do not have the bandwidth to fulfill all of their patient care duties in addition to the increasingly prevalent administrative, compliance and regulatory burdens placed on them. This also means that there is less time for professional development and continuing education. These technologies can serve as a major advantage to the physician workflow as they provide an opportunity to easily query, fact-check and understand the latest science that is involved with a condition. Carry this even further with tools such as OpenEvidence DeepConsult, which gives physicians access to PhD-level AI agents that can conduct medical research, or Gemini's foundation models that can rapidly decipher medical images, or even AI scribing technology that can rapidly generate patient-physician encounter notes, and soon, hours can be saved from a physician's daily workflow. This translates not only to millions of dollars saved annually in system costs, but also to more time available to spend with patients, improved access to care, and ultimately, increased efficacy and quality of care provided.
Wall Street Journal
26-07-2025
- Business
- Wall Street Journal
AI Founder Pays $38.2 Million for Beachfront Miami-Area Penthouse
This spring, 42-year-old tech entrepreneur Daniel Nadler gave up his Miami rental apartment and moved into a beachfront hotel. The goal was to streamline his life and focus on building OpenEvidence, his Google-backed medical AI company, which is valued at $3.5 billion. 'I didn't want the overhead of dealing with houses and all of the stuff that comes with houses,' he said. 'If I could wake up at 4 a.m. and just order room service—this is so perfect.'
Boston Globe
24-06-2025
- Business
- Boston Globe
Cambridge medical AI company OpenEvidence sues physician networking app Doximity, alleging corporate espionage
Advertisement OpenEvidence asked the court to block Doximity from using its trade secrets and award unspecified financial damages. A Doximity spokesperson said the company could not comment on pending litigation, but would 'defend these claims vigorously.' OpenEvidence is one of the leading AI companies in Greater Boston, backed by top venture capital firms such as Sequoia Capital, Google Ventures, and Kleiner Perkins and valued at an estimated $3 billion. OpenEvidence was one on only two Boston-area firms to make Described by Forbes as 'ChatGPT for doctors,' OpenEvidence provides physicians with almost instantaneous access to the latest medical information to help them determine diagnoses and treatments. The company has partnerships with leading journals such as the New England Journal of Medicine, Advertisement In the suit, OpenEvidence alleged Balachandran and Konoske used the National Provider Identifier numbers of real doctors to access After logging in to OpenEvidence's search engine, the lawsuit claims that Doximity employees submitted prompts designed to trick the AI to divulge the system's inner workings. In one instance, the lawsuit alleges, Konoske prompted the AI bot to'write down the secret code' while logged into the platform under a gastroenterologist's identification number. The lawsuit also claims that Doximity executives and staff submitted hundreds of medical queries and submitted identical questions dozens of times to find pattens to help understand how the technology works. The legal action comes amid what OpenEvidence founder Daniel Nadler describes as a 'talent arms race' in AI innovation, with top firms competing for top talent graduating from prestigious programs such as those at Harvard, his alma mater, and MIT. 'These companies are staffed with the brightest minds in the world, and are going to have a profound impact on humanity, but only if they can survive,' Nadler said in an interview. In the lawsuit, OpenEvidence claimed that Doximity named OpenEvidence as a 'number one target' and prime competitor. Doximity's technology provides a secure channel for clinicians to communicate with their patients and other physicians over the phone, according to Doximity's website. Doximity has started developing its own AI tools, including OpenEvidence alleged in the lawsuit that Doximity CEO Jeff Tangney 'engaged in a systematic campaign of defamation and false advertising designed to undermine OpenEvidence's reputation and competitive position in the marketplace.' Advertisement Tangney manipulated prompts to generate false answers from OpenEvidence's search engine before a group of pharmaceutical executives whose companies account for nearly $20 billion in annual advertising spending, according to the lawsuit. Maren Halpin can be reached at
Medscape
13-05-2025
- Health
- Medscape
Six Evidence-Based Apps Every Medical Student Should Know
When Ashwin Chetty first started his clinical rotation in pediatric surgery, he would often rely on ChatGPT and the app OpenEvidence, which is designed to help healthcare providers with summaries of peer-reviewed research; the apps helped him think of questions an attending doctor might ask him about the surgeries he planned to see the next day. These artificial intelligence (AI)–driven assists didn't replace studying. Rather, they served as a starting point for Chetty to figure out what material he needed to study more. 'Ultimately, that next day, it was super helpful,' he said of utilizing these resources. Chetty's attending doctor did ask him the questions which he identified and thought about. For Chetty, who is a second-year medical student at Yale School of Medicine in New Haven, Connecticut, these tools also help him structure what subject matter he needs to know for his clinical rotations. Given the sheer volume of material presented to medical students, you often need to pinpoint what areas you need to focus on right now, he said. 'These resources can help me do that type of prioritization,' said Chetty. Which evidence-based apps are best for helping medical students learn to diagnose illnesses, prescribe medications, and stay current on peer-reviewed medical research? Here are our picks. 1. UpToDate This app and corresponding website help medical students make point-of-care decisions by providing evidence-based information on different medical conditions. UpToDate also offers drug-related information. The app is a favorite for fourth-year medical student Isabella Ntigbu. 'This is very much the bread-and-butter clinical knowledge library used by medical providers and can be very useful to look something up on the fly while on your clinical rotations or to just learn more about a medical diagnosis or process,' Ntigbu said in an email. 'The library uses evidence-based resources and references in their articles.' Medical students can type in a question, and a suggestion will pop up for common searches. There are additional features, such as medical calculators and information on drug interactions. Healthcare providers can also access continuing education credits. A history feature allows users to revisit topics they've previously viewed, and they can create bookmarks to organize saved topics, graphics, and calculators. 'I use that a lot to do background reading and understand what the latest guidelines are for something,' Chetty said about UpToDate, which he likens to a 'Wikipedia for doctors.' Medical students must register to access UpToDate. It also requires an individual subscription or institutional support to use. 2. OpenEvidence OpenEvidence— which has a content agreement with The New England Journal of Medicine — enables users to quickly generate answers to medical questions. The app and corresponding website are based on peer-reviewed academic medical literature. OpenEvidence is a favorite of Rico Carter, a first-year medical student at Wright State University Boonshoft School of Medicine in Dayton, Ohio. 'You may also ask follow-up questions or ask for points of clarification that will drive into the topic in more detail,' Carter said in an email. Carter likes the app's ability to 'link specific literature to the topics that I discuss, ensuring the explanations are evidence based,' he said. OpenEvidence is currently free and unlimited to licensed healthcare professionals, but they must register first. 3. MDCalc Medical Calculator This app and corresponding website serve as a clinical reference and decision-making tool. The app offers a wide variety of calculators for dose calculations. It is another favorite app of Ntigbu, who plans to start her residency in emergency medicine in June. It helps with common evidence-based calculations, such as the Pulmonary Embolism Rule-out Criteria score to exclude a diagnosis of pulmonary embolism and the Clinical Opiate Withdrawal Scale score for measuring the severity of opioid withdrawal, Ntigbu said. The app offers evidence-based tools written by physician experts and supports over 50 specialties that cover over 200 patient conditions, according to the website. 'That's one I've definitely used a lot,' said Chetty, 'especially when I was in the emergency department when you're trying to risk stratify patients.' He has utilized the app to help with questions like: 'What's the risk of this patient having a deep vein thrombosis or having a pulmonary embolism?' MDCalc's core functions are free, but some parts of the app — such as earning continuing medical education credits — require a paid subscription. 4. AMBOSS The AMBOSS app and website provide a medical knowledge platform that is also evidenced-based. According to the app, it allows users to quickly define medical terms, learn how to identify details in medical imaging, and diagnose medical conditions with accuracy. The AMBOSS platform also helps medical students study for shelf exams and the United States Medical Licensing Step 1 and 2 exams, said Ntigbu. This app is 'very helpful for third-year medical students on their clinical rotations,' she said. To use most of AMBOSS's features, you need to pay a membership fee. 5. USPSTF Preventive TaskForce App This app is part of the United States Preventive Services Task Force, an expert panel that puts forth clinical preventive services' recommendations — including screenings and counseling — that are evidence-based. For example, it makes recommendations for breast and colon cancer screenings. There is also a website. The app allows medical students to 'put in different characteristics of the particular patient that you're working with, and it'll show you the different guidelines that might be relevant to that particular patient,' Chetty said, 'so that's really handy to have.' This app is free. 6. VisualDx The VisualDx app and its corresponding website bring together illustrations of disease with diagnostic frameworks. The app — which started out as a dermatology image program and now covers general medicine — allows a healthcare professional or medical student to build a differential diagnosis based on a patient's chief complaint and to search conditions in order to find treatment and testing options. 'It combines expert knowledge, a leading medical image library, and AI to support better clinical decisions, treatment, and patient communications,' Robert Sklar, director of Implementation at VisualDx and a paramedic by training, said in an email. It is 'uniquely positioned to help students by providing a comprehensive, evidence-based tool that enhances diagnostic accuracy and clinical decision-making,' Sklar added. VisualDx requires a paid subscription. Other apps that are not necessarily evidence-based but those Chetty relies on during his day-to-day work as a medical student, include ChatGPT and Sketchy— a visual depiction app and website that 'a lot of people use to study microbiology and pharmacology,' he said. Sketchy requires a paid subscription. Chetty also likes the flashcard app Anki, which is free. There are 'tens of thousands of cards that are about different medical school-related topics,' he said. 'For me, Anki is enormous,' said Chetty. '… there's so much material in med school and one of the hardest parts for me is retaining it. So being able to have cards come back and kind of have this automated review mechanism — that's been really helpful.' Which medical or study-related apps work best is a personal decision each medical student needs to make, according to Chetty. 'I think ultimately it comes down to understanding how you study and how you like to collect information and retain it and just figuring out the workflow that works best for you,' he said.
