List of questions
What chronic conditions are most apt to be treated by bioelectronic medicines that are not already being served?
How can clinical insight be best captured to calibrate neural therapies?
Which neuromodulation therapies would be most improved if the dosage could be constantly change in real time based on biomarkers?
What is the standard of evidence required for clinicians to adopt novel neuroimaging technology, and how does it differ from that required for therapeutic interventions?
As a provider of neuroimaging software solutions we see a slower adoption rate compared with more "traditional" medical devices/technology.
As the number of AI medical devices for clinical use is rapidly increasing, how can payers, hospitals, and companies work together to avoid fragmentation and simplify delivery of large numbers of specialised technologies without burdensome contracting, IT, data protection, and installation/training overheads for each one?
Based on our experience - particularly in a UK/NHS environment - where so many obstacles are placed before everyone who is eager to implement a new technology.
What are the pros, cons and ethical implications of bringing the benefits neurotechnology to everyone including not just patients, but also healthy individuals?
Non-invasive brain stimulation is safe and modestly effective, it has been sold in the non-clinical market for enhancement of motor abilities, cognitive abilities, and more recently weight loss, sleep, etc. As we're driving the technology to make the effects of such stimulation more powerful and more instant, do you foresee any safeguards or limitations that need to be put in place? Also, in the EU, the regulations are changing to put devices like this under Medical Device Regulations, do you believe this is fair to consumers and also to businesses?
What is the most unexpected biomarker you could monitor and do you think we could affect it with brain stimulation?
We have a closed-loop stimulation system where we can measure a parameter (currently EEG and ECG) and attempt a range of brain stimulation protocols (currently electrical and audio/visual) to choose the most effective for an individual. We're looking for collaborations to test and expand our range of applications in a non-clinical space (e.g. for concentration, rejuvenation, de-stressing etc.) as well as for clinical applications, and with a track record of getting grants, we can also look into joint grant applications.
What are the best and least invasive methods or materials for reading the raw electrical signals of the nervous system, chronically?
Any discussion with material scientists, bioengineers would be welcome. Beyond this: colleagues with interest in neuroscience and brain-computer interfaces.
Research suggests that the rehabilitation of neurological patients with conditions such as stroke, or other aquired brain injury is blocked by inadequate dosage of treatment. Researchers and developers are succeeding in bringing clinical rehabilitation technologies to market, including exoskeletons, sensor based rehabilitation systems and electrical stimulation devices. There is however limited uptake into clinical practice. The neuro population is heterogenous, patient impairments are multiple and complex, the clinical services are poorly resourced and there is limited evidence of cost effectiveness of specific treatments. In the light of the above can advanced technologies really solve the problems of sub clinical dosage of intervention in neuro rehabilitation? If so what needs to be done to enable this to become a reality in clinical practice This is the basis for Hobbs Rehabilitation developing the MINT concept.
What are the optimal ways to perform clinical validation of neurotechnology solutions in a clinical setting and potential bottlenecks to look out for?
At Immersive Rehab we aim to improve neurorehabilitation services for people with neurological conditions such as stroke, MS and spinal injury. Long term clinical validation is key for our digital therapeutic solution, so what are the optimal ways to perform clinical validation of neurotechnology solutions in a clinical setting and potential bottlenecks to look out for?
Which are the best unsupervised methods to analyze very large scale real-time neuronal data today?
What developments can be expected in the next 5 years in battery chemistry research?
What developments are expected in high-speed low-power electronics in the next 3 years?
What are current unmet needs in neurosurgery?
Thinking about the emerging field of bioelectric medicine, how might we shift from pharmacological doses to digitally controlled electrical doses by directly stimulating the nervous system, in a system that is heavily weighted towards the use of medication based treatments?
How might we use AI to help develop an objective measure of stress and what are the novel biomarkers that could be used and collected by an ear based device?
What are the cutting edge real-time deep learning classification methodologies on EEG data and within neurotechnology?
New analysis methods for neurofeedback
What trusted methodologies are there to corroborate other biosensor and digital data with brain data?
Brain-sensing wearables have a barrier to entry for consumers to use with products as not many like to wear something on their head (that arent socially acceptable headphones). Also you dont want dependancy on these wearables for your product to work.
What Flow diverter devices do you use to treat intracranial aneurysms and how would you improve the mode of device placement?
Oxford Endovascular operates in the endovascular cerebral aneurysms repair (ECAR) market where coiling and clipping is used. Minimally invasive endovascular treatment has become the standard treatment for aneurysms and flow-diversion is a rapidly growing therapy gaining popularity with clinicians. The early evidence base has some advantages of flow-diversion over coiling whilst highlighting challenges with existing technology. This evidence has led a number of US hospitals to begin using flow-diverters as the first-line treatment for all un-ruptured aneurysms. This trend is expected to continue. Despite the growth, prospective current flow diverters have drawbacks due to issues with device placement. Based on market feedback a next generation device would need to show improvements.
What challenges do you encounter when using flow diverter devices?
Flow diverters are made of a braided woven mesh design and feedback suggests that placement accuracy and deployment are fundamental to cases going well.
What do support staff say about improvements that could be made to flow diverter devices that you use?
Support staff in the operating environment play a vital part in ensuring that interventional cases go well.
How do researchers, clinicians & early stage companies tackle the need for more personalised therapies in the neuro space and translate these ideas into medical devices given the complexities of product development, changes in Medical Device Regulation (MDR) and Quality Management Systems?
SensoMedical’s experts have years of experience perfecting the development and commercialization of neurotechnology. Developing devices in the neurotechnology space is a complex science that requires expertise in multiple fields including electrophysiology, biology, materials science, mechanical engineering, electronics, QMS, regulatory experience, etc. SensoMedical is the first company focused entirely on products for neurology, neuroscience, CNS and peripheral nerves. We can do subcutaneous, transcutaneous, peripheral, deep brain, intravascular and implanted. We can do end to end product development or work with existing proof of concepts from optimisation, prototyping, supply chain through to viable medical device.
Can you discuss any new developments using MEG and specific biomarkers for neurodegenerative diseases and neuropsychiatric conditions
Translational research for human brain