The NEI Vision Function Challenge from NIH Challenges seeks innovative scientific methods to assess visual function beyond traditional acuity tests using modern technology and research.
NIH Challenges' Real-World Evidence Innovation Challenge seeks to benchmark and validate analytic methods for clinical data, emphasizing reproducibility and robustness across diverse health systems.
The NIH Quantum Computing Challenge funds the development of quantum algorithms to tackle complex biomedical research problems, advancing fields like drug discovery and clinical prediction.
NEI grant supports planning for large clinical vision research projects including trials and studies on eye conditions, requiring detailed study protocols and procedures.
NIH Challenges seeks innovative smart devices and sensing technologies to generate AI-ready data and reduce chronic disease disparities in high-risk populations.