A new study shows there is even more reason to worry about the Zika and chikungunya viruses and the pests that spread them; increased risk of neurological diseases like stroke.

A new mathematical model seeks to predict economic performance of crops, which will allow breeders to obtain the plants with the highest possible quality. 

Using even the most advanced legacy tools, it is very difficult to create a new variety of plants and it usually takes 10-12 years. Using genomic selection models, this process can be accelerated several times, finds the new study, using a new mathematical model for predicting crop phenotypic traits as a function genotype.

Numerous criticisms of medical science have been articulated in recent years. Some critics argue that spurious disease categories are being invented, and existing disease categories expanded, for the aim of profit. Others say that the benefits of most new drugs are minimal and typically exaggerated by clinical research, and that the harms of these drugs are extensive and typically underestimated by clinical research.

In the old days, if you wanted to spread desirable characteristics in livestock you had to try breeding and hope for the best. The 19th century breakthroughs in genetics promised a future where trial and error was no longer the norm.

Now, with desire to optimize food production and reduce environmental impact without harming choices for poor people, scientists have created pigs, goats and cattle that can serve as viable “surrogate sires” - male animals that produce sperm carrying only the genetic traits of donor animals.

We're living longer than ever, but that means we now have to think about new issues that were uncommon when life expectancy was low. 

Muscles shrink and their strength dwindles as we age. When that is excessive, the condition is called sarcopenia, and it affects every third person over the age of 80, reducing mobility, autonomy and quality of life.

There may be hope in the form of a well-known drug, Rapamycin, that can delay the progression of age-related muscle weakness.

A brain-controlled prosthetic limb have shown that machine learning techniques helped an individual with paralysis learn to control motion using their brain activity without requiring extensive daily retraining. 

It is proof-of-concept for how future models can overcome limitations of prior brain-computer interface efforts, which existing had to be reset and recalibrated each day, almost like asking someone to learn to ride a bike over and over again each day.