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“This is a very serious public health situation,” said Dr. Nancy Messonnier, director of the National Center for Immunization and Respiratory Diseases. “Moving forward, we can expect to see more cases, and more cases means more potential for person-to-person spread.”

The virus, which emerged Dec. 31, has already spread to more people than the 2003 SARS epidemic, which sickened roughly 8,100 people across the globe over nine months. The transmission makes the U.S. at least the fifth country where the infection is now spreading through human-to-human contact, including China. Officials of the Centers for Disease Control and Prevention said there are at least nine cases of human-to-human transmission outside of China, as of Thursday.

As of Thursday afternoon, 8,137 cases were confirmed in mainland China alone, according to Chinese state media, and more than 100 cases were confirmed elsewhere around the world — bringing the global total to at least 8,248.

BEIJING (AP) — China counted 170 deaths from a new virus Thursday and more countries reported infections, including some spread locally, as foreign evacuees from China’s worst-hit region returned home to medical observation and even isolation.

India and the Philippines reported their first cases, in a traveler and a student who had both been in Wuhan, the central Chinese city where the new type of coronavirus first surfaced in December. South Korea confirmed a case that was locally spread, in a man who had contact with a patient diagnosed earlier.

Locally spread cases outside China have been a worrying concern among global health officials, as potential signs of the virus spreading more easily and the difficulty of containing it. The World Health Organization is reconvening experts on Thursday to assess whether the outbreak should be declared a global emergency.

Inspired by the functioning of the human brain and based on a biological mechanism called neuromodulation, it allows intelligent agents to adapt to unknown situations.

Artificial Intelligence (AI) has enabled the development of high-performance automatic learning techniques in recent years. However, these techniques are often applied task by task, which implies that an intelligent agent trained for one task will perform poorly on other tasks, even very similar ones. To overcome this problem, researchers at the University of Liège (ULiège) have developed a based on a called . This algorithm makes it possible to create intelligent agents capable of performing tasks not encountered during training. This novel and exceptional result is presented this week in the magazine PLOS ONE.

Despite the immense progress in the field of AI in recent years, we are still very far from . Indeed, if current AI techniques allow to train computer agents to perform certain tasks better than humans when they are trained specifically for them, the performance of these same agents is often very disappointing when they are put in conditions (even slightly) different from those experienced during training.

The regenerative properties of axolotls has led to them become one of the most studied species of salamander in the world. In 2018 their genome, which is 10 times longer than that of humans, became the longest yet to be sequenced. However, understanding the functions of the genes associated with axolotl regeneration has proven a challenge for scientists, as they are contained within reams of repeated lengths of DNA.

Researchers at Yale University have developed a novel screening platform to potentially circumvent this problem, and bring the possibility of applying this regenerative process to humans a step closer. Their novel screening platform involved the creation of markers to track 25 of the genes suspected to be involved in axolotl limb regeneration.

“It regenerates almost anything after almost any injury that doesn’t kill it,” said Parker Flowers, co-author and Professor of Molecular, Cellular, and Developmental Biology at Yale University.

You’d have to be living under a very isolated rock to be unaware of the dangerous coronavirus outbreak centered on the city of Wuhan in China. The disease has infected several thousand people, and more than 100 have died. Researchers at Johns Hopkins University have created a new tool to track and visualize the outbreak. In a world where it’s easy to spread incorrect information, having an authoritative and easily digestible source like this can be essential.

China allegedly sought to keep the epidemic under wraps, arresting people who posted about the virus on social media. However, the rapid spread of coronavirus infections soon made it impossible to hide. The Chinese government eventually sealed the city of Wuhan as it tries to get a handle on the situation, but many people left the city before that happened. Surrounding provinces have confirmed several dozen infections, and there are a handful of cases in other countries like Thailand, Japan, and the US.

Coronaviruses are a common cause of respiratory infections in humans — it’s one of the pathogens that can cause the “common cold.” However, some strains can be much more dangerous. For example, the 2003 SARS outbreak was a strain of coronavirus called SARS-CoV. The new strain doesn’t have a fancy acronym. It’s just known as the Novel coronavirus (2019-nCoV). Out of over 4,000 infections, 106 have died and only 79 have completely recovered.

LAUSANNE, Switzerland, Jan. 28, 2020 — Time is critical when diagnosing sepsis, but the tests currently used to identify this disease can take up to 72 hours. Researchers at the Laboratory of Bionanophotonic Systems (BIOS) at École Polytechnique Fédérale de Lausanne (EPFL) have developed an optical biosensor that reduces sepsis diagnosis time from several days to a few minutes. The portable biosensor is based on nanoparticle-enhanced digital plasmonic imaging.

Nanosafety researchers at the Harvard T.H. Chan School of Public Health have developed a new intervention to fight infectious disease by more effectively disinfecting the air around us, our food, our hands, and whatever else harbors the microbes that make us sick.

They used a nano-enabled platform developed at the center to create and deliver tiny, aerosolized water nonodroplets containing non-toxic, nature-inspired disinfectants wherever desired.

ACS Sustainable Chem. Eng – Inactivation of Hand Hygiene-Related Pathogens Using Engineered Water Nanostructures.

New cancer immunotherapies involve extracting a patient’s T cells and genetically engineering them so they will recognize and attack tumors. This technique is a true medical breakthrough, with an increasing number of leukemia and lymphoma patients experiencing complete remissions since CAR T therapy was FDA approved in 2017.

This type of therapy is not without challenges, however. Engineering a patient’s T is laborious and expensive. And when successful, the alterations to the immune system immediately make patients very sick for a short period of time, with symptoms including fever, nausea and neurological effects.

Now, University of Pennsylvania researchers have demonstrated a new engineering technique that, because it is less toxic to the T cells, could enable a different mechanism for altering the way they recognize cancer.