TY - JOUR AU - Kovács, Levente AU - Ferenci, Tamás AU - Gombos, Balázs AU - Füredi, András AU - Rudas, Imre AU - Szakács, Gergely AU - Drexler, Dániel András TI - Positive Impulsive Control of Tumor Therapy—A Cyber-Medical Approach JF - IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS: SYSTEMS J2 - IIEEE TRANS SYST MAN CYBERN SYST VL - 54 PY - 2024 IS - 1 SP - 597 EP - 608 PG - 12 SN - 2168-2216 DO - 10.1109/TSMC.2023.3315637 UR - https://m2.mtmt.hu/api/publication/34168948 ID - 34168948 AB - Chemotherapy optimization based on mathematical models is a promising direction of personalized medicine. Personalizing, thus optimizing treatments, may have multiple advantages, from fewer side effects to lower costs. However, personalization is a complicated process in practice. We discuss a mathematical model of tumor growth and therapy optimization algorithms that can be used to personalize therapies. The therapy generation is based on the concept of keeping the drug level over a specified value. A mixed-effect model is used for parametric identification, and the doses are calculated using a two-compartment model for drug pharmacokinetics, and a nonlinear pharmacodynamics and tumor dynamics model. We propose personalized therapy generation algorithms for having a maximal effect and minimal effective doses. We handle inter- and intra-patient variability for the minimal effective dose therapy. Results from mouse experiments for the personalized therapy are discussed and the algorithms are compared to a generic protocol based on overall survival. The experimental results show that the introduced algorithms significantly increased the overall survival of the mice, demonstrating that by control engineering methods an efficient modality of cancer therapy may be possible. LA - English DB - MTMT ER - TY - JOUR AU - Lipták, György AU - Hangos, Katalin AU - Szederkényi, Gábor TI - Stabilizing feedback design for time delayed polynomial systems using kinetic realizations JF - EUROPEAN JOURNAL OF CONTROL J2 - EUR J CONTROL VL - 57 PY - 2021 SP - 163 EP - 171 PG - 8 SN - 0947-3580 DO - 10.1016/j.ejcon.2020.06.007 UR - https://m2.mtmt.hu/api/publication/31381185 ID - 31381185 N1 - Export Date: 18 November 2022 CODEN: EJCOF Correspondence Address: Lipták, G.; Faculty of Information Technology and Bionics, Práter u. 50/a, Hungary; email: lipgyorgy@scl.sztaki.hu LA - English DB - MTMT ER - TY - JOUR AU - Drexler, Dániel András AU - Ferenci, Tamás AU - Lovrics, Anna AU - Kovács, Levente TI - Tumor dynamics modeling based on formal reaction kinetics JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 16 PY - 2019 IS - 10 SP - 31 EP - 44 PG - 14 SN - 1785-8860 DO - 10.12700/APH.16.10.2019.10.3 UR - https://m2.mtmt.hu/api/publication/30864958 ID - 30864958 LA - English DB - MTMT ER -