Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Glioma Diagnosis and Treatment
Abstract
📝 Project Description The Bio-Fluidic-Mechatronic Oncology Lattice (BFM-OL) is a conceptual, closed-loop neuro-surgical architecture designed to achieve the localized eradication of glioblastoma multiforme (GBM) and other aggressive central nervous system malignancies. Moving away from traditional systemic chemotherapy, the BFM-OL treats the cranial cavity as an isolated, dynamic fluidic-mechanical engine. The architecture integrates a decentralized, hard real-time edge-computing mesh running a partitioned three-core software app (Predictive, Real-Time, and Arbiter) insulated within an EMI-immune quantum chassis of diamond-dust technical ceramic and a tungsten-diamond weave. The system operates by deploying patient-derived, biomimetically cloaked microRNA nanoparticles via a pre-heated (37°C) intra-arterial carotid infusion across three feedback-driven micro-doses. These magnetic-core nanoparticles are oriented by a magnetized graphene lattice and actively guided past complex cerebral arterial junctions via dual robotic arms projecting a push-pull spatial magnetic gradient. Once at the target site, the particle stream is captured inside a three-dimensional kinetic trap generated by a 120-degree triangulation helmet array firing counter-rotating acoustic vortices (one clockwise, two anti-clockwise) and activated uniformly by omni-directional, multi-photon Airy Light LED arrays. Following a localized Alternating Magnetic Field (AMF) hyperthermia burn (42°C–45°C) that destroys the tumor cells from within, the system shifts into a post-treatment clearance phase. By broadcasting localized Delta-wave neural entrainment, it expands the brain’s interstitial spaces by up to 60%, utilizing sweeping Acoustic Radiation Forces (ARF) to hydrodynamically pump necrotic cellular debris safely into the cervical lymph nodes, preventing post-operative inflammation, tissue swelling, or stroke.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.