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Researchers build a particle accelerator that fits on a chip

The accelerator-on-a-chip demonstrated in Science is just a prototype, but Vuckovic said its design and fabrication techniques can be scaled up to deliver particle beams accelerated enough to perform cutting-edge experiments in chemistry, materials science and biological discovery that don’t require the power of a massive accelerator.

“The largest accelerators are like powerful telescopes. There are only a few in the world and scientists must come to places like SLAC to use them,” Vuckovic said. “We want to miniaturize accelerator technology in a way that makes it a more accessible research tool.”

Team members liken their approach to the way that computing evolved from the mainframe to the smaller but still useful PC. Accelerator-on-a-chip technology could also lead to new cancer radiation therapies, said physicist Robert Byer, a co-author of the Science paper. Again, it’s a matter of size.

Today, medical X-ray machines fill a room and deliver a beam of radiation that’s tough to focus on tumors, requiring patients to wear lead shields to minimize collateral damage.


On a hillside above Stanford University, the SLAC National Accelerator Laboratory operates a scientific instrument nearly 2 miles long. In this giant accelerator, a stream of electrons flows through a vacuum pipe, as bursts of microwave radiation nudge the particles ever-faster forward until their velocity approaches the speed of light, creating a powerful beam that scientists from around the world use to probe the atomic and molecular structures of inorganic and biological materials.

Now, for the first time, scientists at Stanford and SLAC have created a that can accelerate electrons—albeit at a fraction of the velocity of that massive instrument—using an infrared laser to deliver, in less than a hair’s width, the sort of energy boost that takes microwaves many feet.

Detecting the Origin of Cancer‐Mobile Quantum Probe for Single Cancer Stem Cell Detection

Cancer stem cells (CSC) are believed to be the driving force of cancer metastases and are a rare population of self‐renewing cells that contribute majorly to the poor outcomes of cancer therapy. The detection of CSC is of utmost importance to shed light on the indestructible nature of certain solid tumors and their metastatic ability. However, tumors tend to harbor CSCs in a specialized niche, making the detection process difficult. Currently, there is no method available to detect CSCs. The significance of this work is twofold. First, to the best of the knowledge, it is the first time that the detection of CSC is demonstrated. This approach simultaneously detects both the phenotypic and the metabolic state of the cell, thus enabling universal detection of CSC with high accuracy. Second, to the best of the knowledge, for the first time, light is shed on cell chemistry of CSC in their dedicated niche to facilitate a better understanding of the key players involved in the metabolic rewiring of CSC. This work will enable a better understanding of the fundamentals of CSCs, which are critical for the early diagnosis of cancer and the development of therapies for the cure of cancer.

Polina Mamoshina — The Beginning of an AI Healthcare Revolution

From insilico meddicine — the beginning of an AI healthcare revolution.


Poly Mamoshina on Machine Learning for small molecule drug discovery and the beginning of an AI healthcare revolution — interviewed at the Undoing Aging conference in Berlin 2019!

Polina Mamoshina is a senior research scientist at Insilico Medicine, Inc (www.insilico.com), a Baltimore-based bioinformatics and deep learning company focused on reinventing drug discovery and biomarker development and a part of the computational biology team of Oxford University Computer Science Department. Polina graduated from the Department of Genetics of the Moscow State University. She was one of the winners of GeneHack a Russian nationwide 48-hour hackathon on bioinformatics at the Moscow Institute of Physics and Technology attended by hundreds of young bioinformaticians. Polina is involved in multiple deep learning projects at the Pharmaceutical Artificial Intelligence division of Insilico Medicine working on the drug discovery engine and developing biochemistry, transcriptome, and cell-free nucleic acid-based biomarkers of aging and disease. She recently co-authored seven academic papers in peer-reviewed journals.

https://scholar.google.com/citations?user=YrLgl8gAAAAJ&hl=en

https://uk.linkedin.com/in/polymamoshina

Physicists determine the barely-measurable property entropy for the first time in complex plasmas

Since the end of the 19th century, physicists have known that the transfer of energy from one body to another is associated with entropy. It quickly became clear that this quantity is of fundamental importance, and so began its triumphant rise as a useful theoretical quantity in physics, chemistry and engineering. However, it is often very difficult to measure. Professor Dietmar Block and Frank Wieben of Kiel University (CAU) have now succeeded in measuring entropy in complex plasmas, as they reported recently in the renowned scientific journal Physical Review Letters. In a system of charged microparticles within this ionized gas, the researchers were able to measure all positions and velocities of the particles simultaneously. In this way, they were able to determine the entropy, as it was already described theoretically by the physicist Ludwig Boltzmann around 1880.

Surprising thermodynamic equilibrium in plasma

“With our experiments, we were able to prove that in the important model system of complex , the thermodynamic fundamentals are fulfilled. What is surprising is that this applies to microparticles in a plasma, which is far away from thermodynamic equilibrium,” explains Ph.D. student Frank Wieben. In his experiments, he is able to adjust the thermal motion of the microparticles by means of a laser beam. Using video microscopy, he can observe the dynamic behaviour of the particles in real time, and determine the from the information collected.

Nanoscience breakthrough: Probing particles smaller than a billionth of a meter

Scientists at Tokyo Institute of Technology (Tokyo Tech) have developed a new methodology that allows researchers to assess the chemical composition and structure of metallic particles with a diameter of only 0.5 to 2 nm. This breakthrough in analytical techniques will enable the development and application of minuscule materials in the fields of electronics, biomedicine, chemistry, and more.

The study and development of novel materials have enabled countless technological breakthroughs and are essential across most fields of science, from medicine and bioengineering to cutting-edge electronics. The rational design and analysis of innovative materials at nanoscopic scales allows us to push through the limits of previous devices and methodologies to reach unprecedented levels of efficiency and new capabilities. Such is the case for metal nanoparticles, which are currently in the spotlight of modern research because of their myriad potential applications. A recently developed synthesis method using dendrimer molecules as a template allows researchers to create metallic nanocrystals with diameters of 0.5 to 2 nm (billionths of a meter).

Astrobiology And The Search For Extraterrestrial Like Life

Ira Pastor, ideaXme exponential health ambassador, interviews Dr. Penelope “Penny” Boston, recent Director of NASA’s Astrobiology Institute.

Astrobiology is an interdisciplinary scientific field concerned with the origins, early evolution, distribution, and future of life in the universe, and considers the big question of whether extraterrestrial life exists, and if it does, how humans can detect it.

Astrobiology makes use of molecular biology, biophysics, biochemistry, astronomy, cosmology, exo-planetology, and geology to investigate the possibility of life on other worlds, and how to recognize biospheres that might be different from that on Earth.

Dr. Penelope Boston

Our guest today, is Dr. Penelope “Penny” Boston, recent Director of NASA’s Astrobiology Institute.

Scientists Create a New Kind of Artificial Flesh That Heals Itself Like The Real Thing

Artificial flesh is growing ever closer to the real thing. Scientists in Australia have now created a new jelly-like material which they claim has the strength and durability of actual skin, ligaments, or even bone.

“With the special chemistry we’ve engineered in the hydrogel, it can repair itself after it has been broken like human skin can,” explains chemist Luke Connal from the Australian National University.

“Hydrogels are usually weak, but our material is so strong it could easily lift very heavy objects and can change its shape like human muscles do.”

AstroBiology and the Search for ExtraTerrestrial-Like Life!! — ideaXme — Dr. Penelope “Penny” Boston, PhD., Director of NASA’s Astrobiology Institute — Ira Pastor

New algorithms to determine eigenstates and thermal states on quantum computers

Determining the quantum mechanical behavior of many interacting particles is essential to solving important problems in a variety of scientific fields, including physics, chemistry and mathematics. For instance, in order to describe the electronic structure of materials and molecules, researchers first need to find the ground, excited and thermal states of the Born-Oppenheimer Hamiltonian approximation. In quantum chemistry, the Born-Oppenheimer approximation is the assumption that electronic and nuclear motions in molecules can be separated.

A variety of other scientific problems also require the accurate computation of Hamiltonian ground, excited and thermal states on a quantum computer. An important example are combinatorial optimization problems, which can be reduced to finding the ground state of suitable spin systems.

So far, techniques for computing Hamiltonian eigenstates on quantum computers have been primarily based on phase estimation or variational algorithms, which are designed to approximate the lowest energy eigenstate (i.e., ground state) and a number of excited states. Unfortunately, these techniques can have significant disadvantages, which make them impracticable for solving many scientific problems.