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Radio-isotopes produced via proton induced reaction holds specialsignificance regarding nuclear medicine, astrophysical p-process, theragnosticand diagnostic processes. $^{76}$Br, $^{80m}$Br and $^{61}$Cu are positronemitter and they are useful in the functional studies via Positron EmissionTomography (PET), whereas $^{77}$Br bears the potential for the application inSingle Photon Emission Computed Tomography (SPECT) which involves electroncapture process. PET and SPECT have been in high application in medicalphysics, diagnostics, therapy and nuclear medicine. $^{99m}$Tc and $^{64}$Cuare two popular radionuclide which play important role in nuclear medicine,currently being used in bio-medical physics, bone scan, modern imaging, bloodpool leveling, oncology and diagnosis of copper related diseases. This paperfocus on the generation of recommended nuclear reaction cross sections for theproduction of some useful medical radio-isotopes using the experimentaldatasets obtained from EXFOR database and simulated datasets from nuclearreaction model codes TALYS-1.95 and EMPIRE-3.1.1. 95\% confidence interval hasbeen implemented to ensure confidence and precision.

Statistical analysis of proton induced reactions to generate recommended data for the production of medical radio-isotopes