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Zephyr AI and KangarooHealth Announce Partnership
The multi-year partnership will combine artificial intelligence with data and insights from remote patient monitoring to help prevent adverse outcomes
TYSONS, Va. & PALO ALTO, Calif.--(BUSINESS WIRE)--Zephyr AI, Inc. (“Zephyr AI”), a company building novel transparent AI to address unmet needs across the full spectrum of precision medicine—from prevention to treatment to improve patients’ lives and KangarooHealth, Inc. (“KangarooHealth”), a healthcare technology company providing an AI-assisted turn-key remote patient monitoring platform and care management services, announced today a multi-year strategic partnership to work toward providing clinicians with insights to inform treatment decisions for patients diagnosed with chronic conditions.
The partnership will combine Zephyr AI’s industry-leading machine learning technology with KangarooHealth’s proprietary remote monitoring platform to work towards creating a best-in-class predictive solution for clinicians. KangarooHealth is not only HIPAA and SOC2 certified but also is the only turn-key remote patient monitoring platform that comes at no cost to providers. The company’s platform and connected device network will be integrated into Zephyr’s machine learning models, which leverage groundbreaking algorithms that forecast the development and progression of disease and adverse outcome events. Data from KangarooHealth’s comprehensive monitoring platform, which integrates with over 100 connected devices, including blood pressure monitors, blood glucose monitors, and other wearable technologies will accelerate Zephyr AI's existing machine learning capabilities and enable clinicians to better predict and prevent adverse outcomes.
“The opportunity to pair Zephyr’s machine learning platform with real-world data from a cutting-edge partner like KangarooHealth is tremendous,” said David L. Morgan II, CEO of Zephyr AI. “Together, we believe this collaboration will enable us to provide clinicians with the insights to be able to better anticipate and address the needs of their patients, deliver personalized treatment decisions, and ultimately improve individual health outcomes, and that service comes with the added benefit of reducing the total cost of care to the overall system.”
“We are creating a whole new dynamic in patient care,” added Dr. Xiaoxu Kang, KangarooHealth’s founder, and CEO. “By combining accurate patient insights that have been generated using smart biometric devices with the ability to predict the trajectory of an illness, we aim to deliver physicians a list of options to identify warning signs and plan into early intervention opportunities for mitigating adverse events, thereby significantly helping prevent catastrophic outcomes.”
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Zephyr AI and KangarooHealth Announce Partnership
The multi-year partnership will combine artificial intelligence with data and insights from remote patient monitoring to help prevent adverse outcomes
TYSONS, Va. & PALO ALTO, Calif.--(BUSINESS WIRE)--Zephyr AI, Inc. (“Zephyr AI”), a company building novel transparent AI to address unmet needs across the full spectrum of precision medicine—from prevention to treatment to improve patients’ lives and KangarooHealth, Inc. (“KangarooHealth”), a healthcare technology company providing an AI-assisted turn-key remote patient monitoring platform and care management services, announced today a multi-year strategic partnership to work toward providing clinicians with insights to inform treatment decisions for patients diagnosed with chronic conditions.
The partnership will combine Zephyr AI’s industry-leading machine learning technology with KangarooHealth’s proprietary remote monitoring platform to work towards creating a best-in-class predictive solution for clinicians. KangarooHealth is not only HIPAA and SOC2 certified but also is the only turn-key remote patient monitoring platform that comes at no cost to providers. The company’s platform and connected device network will be integrated into Zephyr’s machine learning models, which leverage groundbreaking algorithms that forecast the development and progression of disease and adverse outcome events. Data from KangarooHealth’s comprehensive monitoring platform, which integrates with over 100 connected devices, including blood pressure monitors, blood glucose monitors, and other wearable technologies will accelerate Zephyr AI's existing machine learning capabilities and enable clinicians to better predict and prevent adverse outcomes.
“The opportunity to pair Zephyr’s machine learning platform with real-world data from a cutting-edge partner like KangarooHealth is tremendous,” said David L. Morgan II, CEO of Zephyr AI. “Together, we believe this collaboration will enable us to provide clinicians with the insights to be able to better anticipate and address the needs of their patients, deliver personalized treatment decisions, and ultimately improve individual health outcomes, and that service comes with the added benefit of reducing the total cost of care to the overall system.”
“We are creating a whole new dynamic in patient care,” added Dr. Xiaoxu Kang, KangarooHealth’s founder, and CEO. “By combining accurate patient insights that have been generated using smart biometric devices with the ability to predict the trajectory of an illness, we aim to deliver physicians a list of options to identify warning signs and plan into early intervention opportunities for mitigating adverse events, thereby significantly helping prevent catastrophic outcomes.”
Zephyr AI and KangarooHealth Announce Partnership
The multi-year partnership will combine artificial intelligence with data and insights from remote patient monitoring to help prevent adverse outcomes
TYSONS, Va. & PALO ALTO, Calif.--(BUSINESS WIRE)--Zephyr AI, Inc. (“Zephyr AI”), a company building novel transparent AI to address unmet needs across the full spectrum of precision medicine—from prevention to treatment to improve patients’ lives and KangarooHealth, Inc. (“KangarooHealth”), a healthcare technology company providing an AI-assisted turn-key remote patient monitoring platform and care management services, announced today a multi-year strategic partnership to work toward providing clinicians with insights to inform treatment decisions for patients diagnosed with chronic conditions.
The partnership will combine Zephyr AI’s industry-leading machine learning technology with KangarooHealth’s proprietary remote monitoring platform to work towards creating a best-in-class predictive solution for clinicians. KangarooHealth is not only HIPAA and SOC2 certified but also is the only turn-key remote patient monitoring platform that comes at no cost to providers. The company’s platform and connected device network will be integrated into Zephyr’s machine learning models, which leverage groundbreaking algorithms that forecast the development and progression of disease and adverse outcome events. Data from KangarooHealth’s comprehensive monitoring platform, which integrates with over 100 connected devices, including blood pressure monitors, blood glucose monitors, and other wearable technologies will accelerate Zephyr AI's existing machine learning capabilities and enable clinicians to better predict and prevent adverse outcomes.
“The opportunity to pair Zephyr’s machine learning platform with real-world data from a cutting-edge partner like KangarooHealth is tremendous,” said David L. Morgan II, CEO of Zephyr AI. “Together, we believe this collaboration will enable us to provide clinicians with the insights to be able to better anticipate and address the needs of their patients, deliver personalized treatment decisions, and ultimately improve individual health outcomes, and that service comes with the added benefit of reducing the total cost of care to the overall system.”
“We are creating a whole new dynamic in patient care,” added Dr. Xiaoxu Kang, KangarooHealth’s founder, and CEO. “By combining accurate patient insights that have been generated using smart biometric devices with the ability to predict the trajectory of an illness, we aim to deliver physicians a list of options to identify warning signs and plan into early intervention opportunities for mitigating adverse events, thereby significantly helping prevent catastrophic outcomes.”