A baby unlike any other is about to celebrate her first birthday.
The reason she’s so unique: she was born from a uterus transplanted into her mother from a deceased donor.
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Despite unbelievable advances in medical science in recent decades, breast cancer kills. Approximately 1 in 8 American women will develop breast cancer cells during the course of their lifetime.
Finding a cure is imperative, and as such, fervent research continues. At the European Breast Cancer Conference in Amsterdam, scientists presented a pair of drugs with an astounding claim: this treatment can eradicate some types of breast cancer in only 11 days, eliminating the need for chemotherapy.
Chemotherapy, whilst an amazing feat of medical-scientific engineering, is known for its uncomfortable and sometimes debilitating side effects. Women undergoing chemotherapy for breast cancer treatment may lose their hair, suffer extreme fatigue, and even loss of cognitive function.
A new study has found that dopamine — a neurotransmitter that plays an important role in our cognitive, emotional, and behavioral functioning — plays a direct role in the reward experience induced by music. The new findings have been published in the Proceedings of the National Academy of Sciences.
“In everyday life, humans regularly seek participation in highly complex and pleasurable experiences such as music listening, singing, or playing, that do not seem to have any specific survival advantage. Understanding how the brain translates a structured sequence of sounds, such as music, into a pleasant and rewarding experience is thus a challenging and fascinating question,” said study author Laura Ferreri, an associate professor in cognitive psychology at Lyon University.
“In the scientific literature, there was a lack of direct evidence showing that dopamine function is causally related to music-evoked pleasure. Therefore in this study, through a pharmacological approach, we wanted to investigate whether dopamine, which plays a major role in regulating pleasure experiences and motivation to engage in certain behaviors, plays a direct role in the experience of pleasure induced by music.”
Human health depends on age and evolutionary history. Firstly, adaptation is age-specific, with Hamilton’s forces of natural selection leading to much greater adaptation at earlier ages than later ages. This of course is how evolutionary biologists explain the existence of aging in the first place. Secondly, when environmental conditions change, it takes surprisingly few generations for populations to adapt to such new conditions, at least at early ages when natural selection is intense. Thirdly, at later ages, when the forces of natural selection are weak, natural selection will often fail to produce adaptation to a selective environment that is not evolutionarily ancient. All three of these themes will be illustrated using both explicit mathematical theory and findings from experimental evolution. At the end of the presentation, we will apply these general scientific insights to the case of human evolutionary history, human aging, and optimal human diets.
Nuadha. often known by the title Airgetlám (“silver hand”), was the first king of the Tuatha Dé Danann. He is one of the characters represented in WB Yeats’s twilight magickal world of Celtic Nuada had his lost arm replaced by a working silver one by the physician Dian Cecht and the wright Creidhne (and later with a new arm of flesh and blood by Dian Cecht’s son Miach). A lot of our druidic and Celtic past has been purposefully obliterated by monotheism — but this creative heritage may yet be more useful to us going forwards.
Neural networks have been used to turn words that a human has heard into intelligible, recognizable speech. It could be a step toward technology that can one day decode people’s thoughts.
A challenge: Thanks to fMRI scanning, we’ve known for decades that when people speak, or hear others, it activates specific parts of their brain. However, it’s proved hugely challenging to translate thoughts into words. A team from Columbia University has developed a system that combines deep learning with a speech synthesizer to do just that.
The study: The team temporarily placed electrodes in the brains of five people scheduled to have brain surgery for epilepsy. (People who have this procedure often have implants fitted to learn more about their seizures.) The volunteers were asked to listen to recordings of sentences, and their brain activity was used to train deep-learning-based speech recognition software. Then they listened to 40 numbers being spoken. The AI tried to decode what they had heard on the basis of their brain activity—and then spoke the results out loud in a robotic voice. What the voice synthesizer produced was understandable as the right word 75% of the time, according to volunteers who listened to it. The results were published in Scientific Reports today (and you can listen to the recordings here.)
