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NATO member Turkey on Thursday carried out a second day of aerial attacks on what it said are Kurdish militant positions in Iraq and Syria, following a terrorist attack on a state-run defense agency this week in which five people were killed. Turkey's National Intelligence Organization reportedly targeted numerous "strategic locations" allegedly used by the Kurdistan Workers' Party (PKK) – which was deemed a terrorist organization in the U.S. in 1997 – as well as targets used by Syrian Kurdish militia affiliated with the militant group. Armed drones were used to hit military, intelligence, energy and infrastructure facilities and ammunition depots, The Associated Press reported. Smoke rises as emergency rescue teams and police officers attend outside Turkish Aerospace Industries Inc. on the outskirts of Ankara, Turkey, on Wednesday, Oct. 23, 2024. However, according to General Commander Mazloum Abdi of the Syrian Democratic Forces (SDF), who is Kurdish, the Turkish attacks have been "indiscriminate" and have targeted civilian areas and health centers.

More than 5 million children under five years die from largely preventable or treatable medical conditions every year, with an overwhelmingly large proportion of deaths occurring in underdeveloped countries with low vaccination uptake. One of the United Nations' sustainable development goals (SDG 3) aims to end preventable deaths of newborns and children under five years of age. We focus on Nigeria, where the rate of infant mortality is appalling. In particular, low vaccination uptake in Nigeria is a major driver of more than 2,000 daily deaths of children under the age of five years. In this paper, we describe our collaboration with government partners in Nigeria to deploy ADVISER: AI-Driven Vaccination Intervention Optimiser. The framework, based on an integer linear program that seeks to maximize the cumulative probability of successful vaccination, is the first successful deployment of an AI-enabled toolchain for optimizing the allocation of health interventions in Nigeria. In this paper, we provide a background of the ADVISER framework and present results, lessons, and success stories of deploying ADVISER to more than 13,000 families in the state of Oyo, Nigeria.

What is Artificial Intelligence (AI) and what are the problems it can solve in healthcare? "[The automation of] activities that we associate with human thinking, activities such as decision-making, problem solving, learning …" Machines have far superior computational abilities than humans. They can sort through enormous amounts of data and use it to make better decisions. What are the main components of AI? AI has numerous application areas where it is presenting ground-breaking human level results. All these areas are evolving on daily basis, new research innovations are occurring.

Japan will commence random mass PCR testing as early as March as part of efforts to ascertain the extent of the novel coronavirus' spread in city areas, according to government sources. The central government is aiming to conduct up to several thousand polymerase chain reaction tests per day in Tokyo, Osaka and other metropolitan areas seeing a high number of cases, with the goal of using the information to develop effective virus prevention measures, the sources said Monday. In contrast with local government testing that only targets people who show symptoms or have had close contact with infected individuals, random people will be tested to determine how much the virus has spread in a particular city. The costs of the tests, which will be carried out by contracted private companies, will be fully covered by the central government. The tests are expected to be conducted at airports, as well as places where crowds tend to gather such as city centers, companies and universities.

Battling a pandemic as serious as COVID-19 requires drastic responses, and political leaders and public-health officials have turned to some of the most radical strategies available. What began with a lockdown of one city in China quickly expanded to the quarantine of an entire province, and now entire countries including Italy. While social isolation and curfews are among the most effective ways to break the chain of viral transmission, some health experts say it's possible these draconian measures didn't have to become a global phenomenon. "If health officials could have taken action earlier and contained the outbreak in Wuhan, where the first cases were reported, the global clampdown could have been at a much more local level," says Richard Kuhn, a virologist and professor of science at -Purdue University. The key to early response lies in looking beyond centuries-old strategies and incorporating methods that are familiar to nearly every industry from banking to retail to manufacturing, but that are still slow to be adopted in public health.

While the default in amateur diagnostics has become a quick Google search, increasingly innovators are looking to curb potential health misinformation pitfalls. New research published last week by JAMA found that Buoy Health's free chatbot helped decrease the rate of uncertainty among patients. The study also found that patients using the platform were more likely to decrease their intended level of care after using the technology. "We're excited to have our results published -- clearing patient confusion and reducing unnecessary ER/urgent care visits have big implications as healthcare costs continue to rise," Dr. Andrew Le, CEO and cofounder of Buoy Health told MobiHealthNews in an email. "That said, we will be working on follow-on studies, always focused on proving our outcomes and safety. We believe in peer-reviewed science and will continue to pursue transparency."

A collection of some of the largest medical associations in the United States have joined together to throw their support behind the Human Diagnosis Project, an initiative that combines human and machine intelligence to get patients more access to speciality care. Supporters of the effort to increase speciality care for underserved patients include the American Medical Association, the Association of American Medical Colleges, and the National Association of Community Health Centers, a collection of more than 1,400 health centers serving 25 million people across the United States. More than 6,000 doctors have contributed to the project for patient diagnosis and treatment since 2014. Human Diagnosis Project uses natural language processing and other forms of AI to help general practitioners in health clinics and underserved communities diagnose illnesses and connect patients with specialists. "We have brought them together to help expand physician access to the underserved of America using AI," Human Diagnosis Project founder Jay Komarneni told VentureBeat in a phone interview.

A California-based start-up is building drones to drop medical supplies in some of the most remote areas of Rwanda, putting the emerging technology where it can do some real good. Here's the challenge, according to Zipline International, a Silicon Valley robotics start-up that is developing and building the drones: somewhere in the neighborhood of two billion people lack adequate access to essential medical products because they live in inaccessible areas. As a result, almost 3 million children under age five die every year. Initially, the company's drone service is slated to deliver blood to 21 transfusion clinics across the western half of Rwanda, one of the poorest nations in the world. Then it will expand service to the remainder of the country in early 2017, Justin Hamilton, a company spokesperson, said.