Atomfair Brainwave Hub: SciBase II / Biotechnology and Biomedical Engineering / Biomedical advancements through cellular and molecular innovations

Biomedical advancements through cellular and molecular innovations

Showing 37-48 of 59 articles

Combining knot theory with biophysics to model supercoiled DNA replication dynamics

Combining lattice cryptography with protein folding simulations for secure bio-computing

Combining two unrelated fields: quantum biology and machine learning for protein folding prediction

Bridging quantum biology with information theory to model enzyme efficiency

Combining lattice cryptography with biochemical signaling pathways for secure data storage

Investigating protein folding dynamics within attosecond timeframes using unconventional methodologies

Bridging quantum biology with information theory to decode cellular communication

Hybrid quantum-classical algorithms for simulating protein folding on near-term devices

Decoding circadian gene oscillations via single-cell transcriptomics in shift work disorders

Optimizing protein crystallization with real-time feedback control and machine learning

Exploring quantum annealing methods for solving protein folding problems via Cambrian explosion analogs

Knot theory applications in DNA-protein interaction dynamics during chromosome condensation