In vitro 3D human brain–like cultures infected with herpes virus develop Alzheimer’s disease characteristics.

Within a cell system structure dictates function. Any interaction between cells, or a cell and its environment, has the potential to have long term implications on the function of a given cell and emerging cell aggregates. The structure and function of cells are continuously subjected to modification by electrical and chemical stimuli. However biological systems are also subjected to an ever-present influence: the electromagnetic environment. Biological systems have the potential to be influenced by subtle energies which are exchanged at atomic and subatomic scales as electromagnetic phenomena. These energy exchanges have the potential to manifest at higher orders of discourse and affect the output (behaviour) of a biological system. Here we describe theoretical and experimental evidence of electromagnetic influence on cells and the integration of whole systems. Even weak interactions between electromagnetic energies and biological systems display the potential to affect a developing system. We suggest the growing literature of electromagnetic effects on biological systems has significant implications to the cell and its functional aggregates.

Early detection is a critically important factor when successfully diagnosing and treating cancer. Whereas contemporary molecular techniques are capable of identifying biomarkers associated with cancer, surgical interventions are required to biopsy tissue. The common imaging alternative, positron-emission tomography (PET), involves the use of nuclear material which poses some risks. Novel, non-invasive techniques to assess the degree to which tissues express malignant properties are now needed. Recent developments in biophoton research have made it possible to discriminate cancerous cells from normal cells both in vitro and in vivo. The current study expands upon a growing body of literature where we classified and characterized malignant and non-malignant cell types according to their biophotonic activity. Using wavelength-exclusion filters, we demonstrate that ratios between infrared and ultraviolet photon emissions differentiate cancer and non-cancer cell types. Further, we identified photon sources associated with three filters (420-nm, 620-nm., and 950-nm) which classified cancer and non-cancer cell types. The temporal increases in biophoton emission within these wavelength bandwidths is shown to be coupled with intrisitic biomolecular events using Cosic's resonant recognition model. Together, the findings suggest that the use of wavelength-exclusion filters in biophotonic measurement can be employed to detect cancer in vitro.