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Automating Drug Discoveries Using Computer Vision

“Every time you miss a protein crystal, because they are so rare, you risk missing on an important biomedical discovery.”

- Patrick Charbonneau, Duke University Dept. of Chemistry and Lead Researcher, MARCO initiative.

Protein crystallization is a key step to biomedical research concerned with discovering the structure of complex biomolecules. Because that structure determines the molecule’s function, it helps scientists design new drugs that are specifically targeted to that function. However, protein crystals are rare and difficult to find. Hundreds of experiments are typically run for each protein, and while the setup and imaging are mostly automated, finding individual protein crystals remains largely performed through visual inspection and thus prone to human error. Critically, missing these structures can result in lost opportunity for important biomedical discoveries for advancing the state of medicine.

How an algorithm may decide your career

WANT a job with a successful multinational? You will face lots of competition. Two years ago Goldman Sachs received a quarter of a million applications from students and graduates. Those are not just daunting odds for jobhunters; they are a practical problem for companies. If a team of five Goldman human-resources staff, working 12 hours every day, including weekends, spent five minutes on each application, they would take nearly a year to complete the task of sifting through the pile.

Little wonder that most large firms use a computer program, or algorithm, when it comes to screening candidates seeking junior jobs. And that means applicants would benefit from knowing exactly what the algorithms are looking for.

Nanomaterials that mimic nerve impulses (spikes) discovered

Nanomaterials that mimic nerve impulses (credit: Osaka University)

A combination of nanomaterials that can mimic nerve impulses (“spikes”) in the brain have been discovered by researchers at Kyushu Institute of Technology and Osaka University in Japan.

Current “neuromorphic” (brain-like) chips (such as IBM’s neurosynaptic TrueNorth) and circuits (such as those based on the NVIDIA GPGPU, or general purpose graphical processing unit) are devices based on complex circuits that emulate only one part of the brain’s mechanisms: the learning ability of synapses (which connect neurons together).

Satellite startups turn to reinventing broadband, mapping and other industries

Smartphones have disrupted transportation, payments and communication. But the underlying technology has tangentially changed a completely different sector: satellites.

The advances made in miniaturizing technologies that put a computer in your pocket — cameras, batteries, processors, radio antennas — have also made it easier and cheaper for entrepreneurs to launch matter into space. And investors are taking notice.

The chart below shows worldwide venture and PE investment in satellite technology companies.

How to build synthetic DNA and send it across the internet

Biologist Dan Gibson edits and programs DNA, just like coders program a computer. But his “code” creates life, giving scientists the power to convert digital information into biological material like proteins and vaccines. Now he’s on to a new project: “biological transportation,” which holds the promise of beaming new medicines across the globe over the internet. Learn more about how this technology could change the way we respond to disease outbreaks and enable us to download personalized prescriptions in our homes.

New DNA Synthesis Method Could Soon Build a Genome in a Day

Synthetic biologists are the computer programmers of biology. Their code? DNA.

The whole enterprise sounds fantastical: you insert new snippets of DNA code—in the form of a chain of A, T, C, G letters—into an organism, and bam! Suddenly you have bacteria that can make anti-malaria drugs or cells that can solve complicated logic problems like a computer.

Except it’s not that simple. The basis of synthetic biology is DNA—often a lot of it, in the form of many genes. Making an average gene from scratch costs several hundreds of dollars and weeks of time. Imagine a programmer taking a month to type a new line of code, and you’ll likely understand a synthetic biologist’s frustration.

CERN chip enables first 3D color X-ray images of the human body

Medical X-ray scans have long been stuck in the black-and-white, silent-movie era. Sure, the contrast helps doctors spot breaks and fractures in bones, but more detail could help pinpoint other problems. Now, a company from New Zealand has developed a bioimaging scanner that can produce full color, three dimensional images of bones, lipids, and soft tissue, thanks to a sensor chip developed at CERN for use in the Large Hadron Collider.

Mars Bioimaging, the company behind the new scanner, describes the leap as similar to that of black-and-white to color photography. In traditional CT scans, X-rays are beamed through tissue and their intensity is measured on the other side. Since denser materials like bone attenuate (weaken the energy) of X-rays more than soft tissue does, their shape becomes clear as a flat, monochrome image.

The reason thousands of Swedish people are inserting microchips into themselves

Thousands of people in Sweden have inserted microchips, which can function as contactless credit cards, key cards, and even rail cards, into their bodies. Once the chip is underneath your skin, there is no longer any need to worry about misplacing a card or carrying a heavy wallet. But for many people, the idea of carrying a microchip in their body feels more dystopian than practical.

Some have suggested that Sweden’s strong welfare state may be the cause of this recent trend. But actually, the factors behind why roughly 3,500 Swedes have had microchips implanted in them are more complex than you might expect. This phenomenon reflects Sweden’s unique biohacking scene. If you look underneath the surface, Sweden’s love affair with all things digital goes much deeper than these microchips.

Semiconductor quantum transistor opens the door for photon-based computing

Transistors are tiny switches that form the bedrock of modern computing; billions of them route electrical signals around inside a smartphone, for instance.

Quantum computers will need analogous hardware to manipulate quantum information. But the design constraints for this new technology are stringent, and today’s most advanced processors can’t be repurposed as quantum devices. That’s because quantum information carriers, dubbed qubits, have to follow different rules laid out by quantum physics.

Scientists can use many kinds of quantum particles as qubits, even the photons that make up . Photons have added appeal because they can swiftly shuttle information over long distances, and they are compatible with fabricated chips. However, making a quantum transistor triggered by light has been challenging because it requires that the photons interact with each other, something that doesn’t ordinarily happen on its own.

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