A biodegradable, biocompatible, and implantable multifunctional sensing platform for cardiac monitoring has been developed. This platform integrates electrochemical biosensors for detecting lactic acid and pH, a pressure sensor, and a chemiresistor array for volatile organic compounds (VOCs). The device is biocompatible with myocytes and has been tested in vitro and ex vivo using a 3D-printed heart model and cardiac tissue patches. An artificial intelligence (AI)-based predictive model fuses sensor data to provide a "health barcode" for precise health assessment, making it suitable for clinical use. The platform is biodegradable, reducing the need for additional surgeries and minimizing infection risks. It is also flexible, cost-effective, and environmentally friendly, as it degrades naturally in physiological environments. The device can detect multiple biomarkers, including pressure, lactic acid, pH, and VOCs, and is designed for use in various health applications beyond cardiac monitoring, such as environmental and food science. The platform was validated through ex vivo experiments using 3D-printed models and demonstrated excellent performance in detecting cardiac conditions. The AI model showed high accuracy in predicting health status, with 100% accuracy in test data. The device is biocompatible, bioresorbable, and safe for use in clinical settings, offering a promising solution for cardiac monitoring and other health applications. The study highlights the potential of biodegradable and biocompatible sensors in improving patient care and reducing environmental impact.A biodegradable, biocompatible, and implantable multifunctional sensing platform for cardiac monitoring has been developed. This platform integrates electrochemical biosensors for detecting lactic acid and pH, a pressure sensor, and a chemiresistor array for volatile organic compounds (VOCs). The device is biocompatible with myocytes and has been tested in vitro and ex vivo using a 3D-printed heart model and cardiac tissue patches. An artificial intelligence (AI)-based predictive model fuses sensor data to provide a "health barcode" for precise health assessment, making it suitable for clinical use. The platform is biodegradable, reducing the need for additional surgeries and minimizing infection risks. It is also flexible, cost-effective, and environmentally friendly, as it degrades naturally in physiological environments. The device can detect multiple biomarkers, including pressure, lactic acid, pH, and VOCs, and is designed for use in various health applications beyond cardiac monitoring, such as environmental and food science. The platform was validated through ex vivo experiments using 3D-printed models and demonstrated excellent performance in detecting cardiac conditions. The AI model showed high accuracy in predicting health status, with 100% accuracy in test data. The device is biocompatible, bioresorbable, and safe for use in clinical settings, offering a promising solution for cardiac monitoring and other health applications. The study highlights the potential of biodegradable and biocompatible sensors in improving patient care and reducing environmental impact.