Simon Philip Rost’s Post

The latest news brought to you in partnership with Business Wire: - GE HealthCare and RadNet Forge Collaboration to Transform Imaging Systems and Accelerate the Adoption of Artificial Intelligence (AI) with SmartTechnology™: The two companies intend to explore additional areas of collaboration to further expand the access and impact of AI-based workflows in other imaging modalities https://lnkd.in/dNbQ659Y - CerpassRx Launches AI Engine Powered By Waltz Health to Deliver Real-Time Savings and Spend Management for Specialty Drugs https://lnkd.in/dFcDF-CP - Aptar Pharma Enters into Exclusive Agreement with Cambridge Healthcare Innovations to Commercialize the Quattrii Dry Powder Inhaler Platform https://lnkd.in/dcPFEJXP - Onc.AI Serial Imaging Response Score Outperforms Traditional Methods for Early Assessment of NSCLC Immunotherapy Outcomes https://lnkd.in/dXxygBWZ - Evidation Partners with 1upHealth, Inc. to Integrate Diverse Sources of Permissioned Real-World Health Data for Research https://lnkd.in/dpavJcAu

Radiology Innovation: DeepHealth and HOPPR Partner to Advance AI-Powered Medical Imaging Solutions DeepHealth and HOPPR have partnered to develop fine-tuned generative AI models for detecting breast, prostate, and lung cancers, using HOPPR’s foundation model, Grace. This collaboration aims to enhance diagnostic accuracy and streamline radiology workflows by integrating advanced image analysis tools into DeepHealth’s health informatics portfolio. Grace, a pre-trained medical-grade model powered by Amazon Web Services (AWS), will support the creation of AI-driven solutions for radiology, improving patient care through faster and more precise diagnostics. DeepHealth’s CEO, Sham Sokka, PhD, emphasized the impact of this technology on both clinical and non-clinical processes in healthcare. For more details please click the link! https://lnkd.in/dF-A3nMk #marketaccess #reimbursement #pricing #hta #heor #healtheconomics #medicaldevices #pharmaceutical 

GE HealthCare Unveils Aurora SPECT/CT: Advancing Precision Medicine with Enhanced Imaging - HIT Consultant GE HealthCare has launched Aurora, a groundbreaking dual-head SPECT/CT system aimed at enhancing diagnostic capabilities and patient care. Unveiled at RSNA 2024, Aurora integrates functional SPECT imaging with anatomical CT details, crucial for early detection of diseases like cancer and cardiac disorders. Its AI-powered Clarify DL technology significantly improves bone SPECT image quality, boosting diagnostic confidence. Aurora not only enhances image quality but also streamlines workflows, increases efficiency, and prioritizes patient comfort. As precision medicine evolves, Aurora is set to empower clinicians in delivering tailored treatments, ultimately improving patient outcomes. #HealthcareIT #PrecisionMedicine #MedicalImaging #AIinHealthcare #PatientCare #Innovation #Radiology ai.mediformatica.com #healthcare #imaging #aipowered #gehealthcare #medicine #this #advanced #clinicians #diagnostic #patientcare #personalizedcare #cancer #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4fT0JOp)

Back from the recent ECP meeting in Florence, Imogen Fitt of Signify Research Ltd joins us to recap the news and events from #digital #pathology in August 2024. Paige recently announced several key changes, starting with the appointment of Razik Yousfi as the new CEO. Paige is transitioning its diagnostic #AI applications to a standalone solution compatible with other digital pathology platforms. The company partnered with Indica Labs, integrating AI models into Indica’s workflow software and focusing on joint commercial efforts in pharma services, preclinical, and translational applications. This shift away from the IMS follows challenges such as market demand for interoperability and slow clinical growth. Roche expands its digital pathology open environment by integrating over 20 AI algorithms from eight collaborators to enhance cancer diagnostics and precision medicine. On the funding front, PreciseDx secured $20 million in a Series B round to commercialize PreciseBreast™ risk assessment. Labcorp and Quest Diagnostics' involvement signals growing interest from major labs in digital pathology (DP). SigTuple raised $4 million to expand geographically, focusing on its AI-powered diagnostics product AI100, which received FDA clearance and is expanding into various global markets. In partnerships, Tribun Health teamed up with Ibex Medical Analytics to integrate Ibex’s AI solutions into its CaloPix platform, offering services in the EU, US, and Canada. Tribun Health’s future AI strategy emphasizes workflow efficiency, strategic collaborations, and interoperability, positioning the company for broader platform integration. Ibex Medical Analytics and PathAI both received #IVDR certifications, marking growth milestones for their prostate, breast, and gastric AI solutions. PathAI also announced new developments regarding its IMS platform. These moves highlight a growing momentum in AI-driven diagnostics and partnerships in the healthcare sector. Listen to Digital Pathology Today on all major #podcast platforms.

𝐓𝐡𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐁𝐫𝐞𝐚𝐬𝐭 𝐂𝐚𝐧𝐜𝐞𝐫 (𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞) 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞: https://lnkd.in/gJVVKz98 Despite remarkable progress in recent years, many breast cancer patients are still diagnosed at an advanced stage. This often leads to aggressive treatments and the anxiety of uncertain outcomes. Identifying patients at risk before the disease onset is crucial. In 2019, researchers from Massachusetts General Hospital and CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) created a deep learning model capable of predicting, from a mammogram, whether a patient is likely to develop breast cancer in the future, specifically within 5 years. Researchers trained an AI to recognize subtle patterns in breast tissue that are precursors to malignancy. This breakthrough can transform early detection, allowing for timely interventions and better outcomes for patients. 👉 𝐆𝐞𝐭 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨 @ https://lnkd.in/g7Gah85A Artificial intelligence is undeniably a powerful tool. When used well, it unlocks immense potential in the research, detection, and treatment of diseases like cancer. 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬: Hologic, Inc. BD Leica Biosystems Argon Medical Devices, Inc. Mammotome Cook Medical B. Braun Group Cardinal Health Merit Medical Systems, Inc. Elekta Stryker Medtronic Thermo Fisher Scientific Boston Scientific Exact Sciences Siemens Healthineers GE HealthCare Philips #breastbiopsy #breastcancer #cancerdiagnosis #biopsytechnology #biopsy #breasthealth #cancerscreening #medicaldevices #patientcare #cancer #healthcareinnovation #breastimaging #earlydetection #cancertreatment #healthcare #medicaltechnology #radiology #biopsytools #healthtech #oncology #womenshealth #biopsyprocedures #diagnostics #health #breastcancersurvivor #biopsyresearch #biopsyadvancements #precisionmedicine #biopsykits #cancerawareness #medicalinnovation

GE HealthCare, DeepHealth Collaborate to Advance AI in Imaging - HIT Consultant Exciting advancements in medical imaging are on the horizon! GE HealthCare and DeepHealth have joined forces to enhance AI integration in imaging, focusing on developing SmartTechnology™ solutions that streamline workflows and improve patient care. Their initial collaboration targets breast cancer screening, integrating DeepHealth's SmartMammo™ with GE's Senographe Pristina™ system. This partnership promises to boost diagnostic accuracy, enhance communication among care teams, and optimize operational efficiency. Together, they aim to transform the imaging landscape, making personalized care more accessible. #HealthcareIT #ArtificialIntelligence #MedicalImaging #BreastCancerAwareness #HealthTech #PatientCare #Innovation ai.mediformatica.com #healthcare #imaging #gehealthcare #aipowered #collaboration #efficiency #clinical #workflows #innovation #intelligence #radnet #artificialintelligence #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4epikfk)

🔬 The Significance of AI Advancements in Healthcare Revolutionizing Patient Care: AI-driven diagnostics are transforming healthcare 🏥 Helps detect diseases earlier and more accurately 🕵️♂️ Analyzing Medical Images: AI can review X-rays and MRIs quickly 📸 Improves accuracy in spotting issues 🎯 Real-World Impact: Example: AI in radiology finds problems faster than humans ⏱️ Helps in detecting lung cancer early 🚭 Specific Case - Lung Cancer Detection: AI tools highlight areas of concern in scans 🔍 This leads to quicker diagnosis and treatment 💉 The Future of AI in Healthcare: Promises more efficient and accurate diagnostics ⚙️ Personalizes treatments based on patient data 📊 Looking Ahead: Expect more innovative applications in healthcare 🚀 AI will continue to improve patient care and outcomes 🌟 #100xLearners #Day20of30DaysChallenge #AIinHealthcare #TechInnovation

🎗️🔬 𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐄𝐚𝐫𝐥𝐲 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧: 𝐓𝐡𝐞 𝐁𝐫𝐞𝐚𝐬𝐭 𝐁𝐢𝐨𝐩𝐬𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐚𝐭 𝐭𝐡𝐞 𝐅𝐨𝐫𝐞𝐟𝐫𝐨𝐧𝐭 𝐨𝐟 𝐖𝐨𝐦𝐞𝐧'𝐬 𝐇𝐞𝐚𝐥𝐭𝐡 💖👩⚕️- IndustryARC™ Breast Biopsy Devices Market Size is valued at $3.4 Billion by 2030, and is anticipated to grow at a CAGR of 5.1% during the forecast period 2024 -2030. 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞: https://lnkd.in/gv2FKxMq Despite remarkable progress in recent years, many breast cancer patients are still diagnosed at an advanced stage. This often leads to aggressive treatments and the anxiety of uncertain outcomes. Identifying patients at risk before the disease onset is crucial. In 2019, researchers from Massachusetts General Hospital and CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) created a deep learning model capable of predicting, from a mammogram, whether a patient is likely to develop breast cancer in the future, specifically within 5 years. Researchers trained an AI to recognize subtle patterns in breast tissue that are precursors to malignancy. This breakthrough can transform early detection, allowing for timely interventions and better outcomes for patients. 👉 𝐆𝐞𝐭 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨 @ https://lnkd.in/g3ZUdeUN Artificial intelligence is undeniably a powerful tool. When used well, it unlocks immense potential in the research, detection, and treatment of diseases like cancer. 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬: Hologic, Inc. BD Leica Biosystems Argon Medical Devices, Inc. Mammotome Cook Medical B. Braun Group Cardinal Health Merit Medical Systems, Inc. Elekta Stryker Medtronic Thermo Fisher Scientific Boston Scientific Exact Sciences Siemens Healthineers GE HealthCare Philips #breastbiopsy #breastcancer #cancerdiagnosis #biopsytechnology #biopsy #breasthealth #cancerscreening #medicaldevices #patientcare #cancer #healthcareinnovation #breastimaging #earlydetection #cancertreatment #healthcare #medicaltechnology #radiology #biopsytools #healthtech #oncology #womenshealth #biopsyprocedures #diagnostics #health #breastcancersurvivor #biopsyresearch #biopsyadvancements #precisionmedicine #biopsykits #cancerawareness #medicalinnovation

𝐓𝐡𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐁𝐫𝐞𝐚𝐬𝐭 𝐂𝐚𝐧𝐜𝐞𝐫 (𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞) 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞: https://lnkd.in/gV9c_6_r Despite remarkable progress in recent years, many breast cancer patients are still diagnosed at an advanced stage. This often leads to aggressive treatments and the anxiety of uncertain outcomes. Identifying patients at risk before the disease onset is crucial. In 2019, researchers from Massachusetts General Hospital and CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) created a deep learning model capable of predicting, from a mammogram, whether a patient is likely to develop breast cancer in the future, specifically within 5 years. Researchers trained an AI to recognize subtle patterns in breast tissue that are precursors to malignancy. This breakthrough can transform early detection, allowing for timely interventions and better outcomes for patients. 👉 𝐆𝐞𝐭 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨 @ https://lnkd.in/gwv8KrF4 Artificial intelligence is undeniably a powerful tool. When used well, it unlocks immense potential in the research, detection, and treatment of diseases like cancer. 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬: Hologic, Inc. BD Leica Biosystems Argon Medical Devices, Inc. Mammotome Cook Medical B. Braun Group Cardinal Health Merit Medical Systems, Inc. Elekta Stryker Medtronic Thermo Fisher Scientific Boston Scientific Exact Sciences Siemens Healthineers GE HealthCare Philips #breastbiopsy #breastcancer #cancerdiagnosis #biopsytechnology #biopsy #breasthealth #cancerscreening #medicaldevices #patientcare #cancer #healthcareinnovation #breastimaging #earlydetection #cancertreatment #healthcare #medicaltechnology #radiology #biopsytools #healthtech #oncology #womenshealth #biopsyprocedures #diagnostics #health #breastcancersurvivor #biopsyresearch #biopsyadvancements #precisionmedicine #biopsykits #cancerawareness #medicalinnovation

𝐓𝐡𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐁𝐫𝐞𝐚𝐬𝐭 𝐂𝐚𝐧𝐜𝐞𝐫 (𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞) 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞: https://lnkd.in/ghgT2hc2 Despite remarkable progress in recent years, many breast cancer patients are still diagnosed at an advanced stage. This often leads to aggressive treatments and the anxiety of uncertain outcomes. Identifying patients at risk before the disease onset is crucial. In 2019, researchers from Massachusetts General Hospital and CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) created a deep learning model capable of predicting, from a mammogram, whether a patient is likely to develop breast cancer in the future, specifically within 5 years. Researchers trained an AI to recognize subtle patterns in breast tissue that are precursors to malignancy. This breakthrough can transform early detection, allowing for timely interventions and better outcomes for patients. 👉 𝐆𝐞𝐭 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨 @ https://lnkd.in/g4VUmagk Artificial intelligence is undeniably a powerful tool. When used well, it unlocks immense potential in the research, detection, and treatment of diseases like cancer. 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬: Hologic, Inc. BD Leica Biosystems Argon Medical Devices, Inc. Mammotome Cook Medical B. Braun Group Cardinal Health Merit Medical Systems, Inc. Elekta Stryker Medtronic Thermo Fisher Scientific Boston Scientific Exact Sciences Siemens Healthineers GE HealthCare Philips #breastbiopsy #breastcancer #cancerdiagnosis #biopsytechnology #biopsy #breasthealth #cancerscreening #medicaldevices #patientcare #cancer #healthcareinnovation #breastimaging #earlydetection #cancertreatment #healthcare #medicaltechnology #radiology #biopsytools #healthtech #oncology #womenshealth #biopsyprocedures #diagnostics #health #breastcancersurvivor #biopsyresearch #biopsyadvancements #precisionmedicine #biopsykits #cancerawareness #medicalinnovation