* Posts by TivoExPat

2 posts • joined 6 Apr 2015

Astronauts on long-haul space flights risk getting 'space brains'

TivoExPat
FAIL

Dose rate matters. Ion species matters.

The paper does not specify if the dose was delivered in a single fraction or if it was given over some longer period of time.

Fractionation matters.

Cells repair in eight to twenty four hours if the damage is not overwhelming.

The ions used are very heavy ions, where cosmic rays and solar wind are primarily high energy Protons.

Protons have a lower relative biological effect and damage DNA in a different way than heavy ions (single stranded breaks vs. double stranded breaks).

This was not an experiment that accurately represents the quality and dose rate that travelers to mars would experience.

We already know that whole brain irradiation causes harm in humans, especially in children.

The question should be: With radiation of the kind and dose rate and duration that would occur on a mission to mars, how would the travelers be harmed.

It would be better to use Proton irradiation, once per day in relevant quantities over a period of several months and then evaluate response.

Digital pathology and the big Cs (that’s ‘cancer’ and ‘cloud’)

TivoExPat
Boffin

Definitive listing of Meta-data

See DICOM PS 3.3 (found at medical.nema.org )

A.32.8.1 VL Whole Slide Microscopy Image IOD Description

For a complete description of the international standard for encoding all of the information (including meta-data) that was considered relevant by those involved. Note that there are mechanisms identified within the standard for clinical trial information, anonymization (de-identification), and digital signatures.

The Patient Information Entity contains the patient identification.

Patient ID is not universally unique as defined by most clinical sites, so the cloud service provider would probably need to intervene in de-identifying prior to storage in the cloud with a mechanism for providing a secure re-identification method to the local clinician (and away from cloud storage).

Not sure why storage in the cloud would be so much better than local storage, and for images as big as they say, wouldn't upload bandwidth be an issue?

Machine learning part would certainly be facilitated by having centralized storage (and centralized processing... not sure the clinicians want to foot the bill for the machine learning).

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