PatientsLikeMe Inc.

Cambridge, MA, United States

PatientsLikeMe Inc.

Cambridge, MA, United States

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The invention relates to systems and methods for behavioral modification of users in an online community where users store or share data to help one another reach informed decisions. One aspect of the invention provides a method for encouraging active participation in an online community. The method includes: receiving information from a first user regarding a topic, receiving a request from a second user for additional information desired from the first user, and sending a personalized message to the first user requesting the additional information. Another aspect of the invention provides a computer-readable medium whose contents cause a computer to perform a method for encouraging active participation in an online community. The method includes: receiving information from a first user regarding a topic; identifying additional information desired from the first user; and sending a personalized message to the first user requesting the additional information.


CAMBRIDGE, Mass.--(BUSINESS WIRE)--PatientsLikeMe today announced the formation of a new senior leadership team comprised of existing executives and new leaders. The team includes: Executive Vice President of Marketing, Technology and Operations Michael Evers, who joined PatientsLikeMe in 2012; George Parker, Executive Vice President of Human Resources since 2016; newly-appointed Executive Vice President of Research and Development (R&D) Jonathan White; and Monique Levy, who joined PatientsLikeMe in 2016 and has been promoted to Executive Vice President, Business Solutions and Partnerships. The team reports to Co-Founder and President Ben Heywood. Co-founder Jamie Heywood remains as PatientsLikeMe’s Chairman and is focused on driving the company’s vision. Jonathan White, a neurosurgeon certified by The Royal College of Surgeons of England, joins PatientsLikeMe with a 25-year history in healthcare innovation, clinical trial development, and in launching successful medical and software products. He has served in executive level IT and R&D positions at Quintiles, Haemonetics and Pfizer. White was also a past PatientsLikeMe customer and board member. In his new role, he will be responsible for managing the company’s biology, regulatory, research, and commercial product development functions. “It’s exciting to join PatientsLikeMe at a moment when we are embarking on a bold new chapter to bring a data and artificial intelligence-based approach to personalized health to answer a new set of questions for patients,” White said. “The sharing of knowledge and access to new types of knowledge will continue to be a powerful force for individuals and industry alike.” Monique Levy said that in her year working with PatientsLikeMe’s life sciences clients, she has seen a deepening commitment to using patient experience as a guide in discovery, development, and on market activities. “I have a lifelong goal to ensure patient needs are reflected in the healthcare system, and it’s been energizing to find like-minded partners. Now technology will help us make even greater leaps forward. I’m excited to continue to work with our partners toward a patient-centered future.” Ben Heywood said that the team has coalesced as the company prepares to deliver new information and tools that will help patients not just live with disease, but thrive. “We have an incredibly experienced and motivated team focused on accelerating our ability to do what’s essential—empower patients with the personalized health information that can improve their outcomes, and their lives.” Heywood added that Martin Coulter, CEO of PatientsLikeMe for the past four years, has left the company. “Martin led us through a period of significant growth and expansion, and set the foundation for our recent strategic partnership with iCarbonX. PatientsLikeMe is in a strong position to provide increasing value, and we’re deeply grateful for his service.” PatientsLikeMe, the world’s largest personalized health network, helps people find new options for treatments, connect with others, and take action to improve their outcomes. The company has worked with every major pharmaceutical company and a range of government organizations to bring the patient voice to research, development and public policy. With more than 500,000 members, PatientsLikeMe is a trusted source for real-world disease information and a clinically robust resource that has published more than 100 research studies. Visit us at www.patientslikeme.com or follow us via our blog, Twitter or Facebook.


The invention is directed, in part, to method of using self-reported health data in online communities to predict significant health events in life-changing illnesses to improve the lives of individuals and to improve patient self-management. The invention provides a method for providing real-time personalized medical predictions for an individual patient. The method includes: providing a database containing patient information for a plurality of other patients including one or more attributes for each patient in the database; constructing a model of a disease based on disease progressions for the plurality of patients; receiving a request from the individual patient, the patient associated with one or more attributes; and making a real-time prediction for the individual patient based on the mode and the individual patients attributes.


Our objective was to propose a testable hypothesis arising from the recent finding of a low index-to-ring finger ratio (2D:4D ratio) in ALS. The 2D:4D ratio finding suggests that prenatal testosterone exposure may play a role in the development of the disease. Research from other fields is presented to suggest that healthy individuals with low 2D:4D ratio have enhanced sporting prowess, particularly with regard to activities requiring endurance and dependent upon slow-twitch muscles. Although studies are of varying quality, some epidemiological findings in ALS also suggest enhanced sporting prowess, as well as a higher risk of developing the disease among members of certain physically active professions. If the 2D:4D finding survives replication then this might explain the reported elevated risk of ALS among professional athletes, the military, and manual professions. Such a relationship might also explain why ALS patients were more likely to have been elite sportspeople in younger life. This hypothesis may serve as a starting point for debate and discussion over the nature of ALS risk factors, as well as generating a number of specific testable hypotheses that may yield insight into the genesis of the disease. © 2012 Informa Healthcare.


Wicks P.,PatientsLikeMe Inc. | Vaughan T.E.,PatientsLikeMe Inc. | Massagli M.P.,PatientsLikeMe Inc. | Heywood J.,PatientsLikeMe Inc.
Nature Biotechnology | Year: 2011

Patients with serious diseases may experiment with drugs that have not received regulatory approval. Online patient communities structured around quantitative outcome data have the potential to provide an observational environment to monitor such drug usage and its consequences. Here we describe an analysis of data reported on the website PatientsLikeMe by patients with amyotrophic lateral sclerosis (ALS) who experimented with lithium carbonate treatment. To reduce potential bias owing to lack of randomization, we developed an algorithm to match 149 treated patients to multiple controls (447 total) based on the progression of their disease course. At 12 months after treatment, we found no effect of lithium on disease progression. Although observational studies using unblinded data are not a substitute for double-blind randomized control trials, this study reached the same conclusion as subsequent randomized trials, suggesting that data reported by patients over the internet may be useful for accelerating clinical discovery and evaluating the effectiveness of drugs already in use.


The invention can be directed toward a method for personalized management and comparison of medical condition and outcome based on patient profiles of a community of patients. The method can include the steps of providing a database of patient profiles, providing a user interface for inputting a query of the database from a user, generating a query result including one or more matching patient profiles from the database, and displaying the query result as a correlation medical condition parameters of the user with a medical outcome.


Various aspects of the invention described herein provide systems and methods for context-linked importation of user information. One aspect of the invention provides a method for context-linked importation of user information. The method includes: providing an interactive environment that allows posting of content by a plurality of pre-identified users; receiving content for the interactive environment from a pre-identified user; selecting relevant data about the pre-identified user from a database, the relevant data selected based on information contained in the content; and displaying the relevant data along with the content on the interactive environment.


The invention can be directed toward a method for personalized management and comparison of medical condition and outcome based on patient profiles of a community of patients. The method can include the steps of providing a database of patient profiles, providing a user interface for inputting a query of the database from a user, generating a query result including one or more matching patient profiles from the database, and displaying the query result as a correlation medical condition parameters of the user with a medical outcome.


The invention relates to systems and methods for behavioral modification of users in an online community where users store or share data to help one another reach informed decisions. One aspect of the invention provides a method for encouraging active participation in an online community. The method includes: receiving information from a first user regarding a topic, receiving a request from a second user for additional information desired from the first user, and sending a personalized message to the first user requesting the additional information. Another aspect of the invention provides a computer-readable medium whose contents cause a computer to perform a method for encouraging active participation in an online community. The method includes: receiving information from a first user regarding a topic; identifying additional information desired from the first user; and sending a personalized message to the first user requesting the additional information.


Patent
PatientsLikeMe Inc. | Date: 2015-11-25

The invention provides a system and a method for tracking, assessing, and managing personalized data related to medical conditions, diseases, disease symptoms, treatments, body function metrics, health and well-being, education, and training. In one embodiment, a method for personalized management of a medical condition is provided. The method includes providing a graphical user interface for allowing the patient to input at least one medical condition metric and at least one intervention, receiving at least one medical condition metric for a patient for a time interval, receiving information about at least one intervention for the patient for the time interval, and displaying the at least one medical condition metric and intervention over the time interval.

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