{"id":6550,"date":"2022-12-21T02:02:08","date_gmt":"2022-12-21T02:02:08","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2022\/12\/21\/pharmacy-academy-seeks-ai-use-in-research-punchng\/"},"modified":"2022-12-21T02:02:08","modified_gmt":"2022-12-21T02:02:08","slug":"pharmacy-academy-seeks-ai-use-in-research-punchng","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2022\/12\/21\/pharmacy-academy-seeks-ai-use-in-research-punchng\/","title":{"rendered":"Pharmacy academy seeks AI use in research – PunchNG"},"content":{"rendered":"

Pharmacy academy seeks AI use in research – PunchNG<\/a><\/p>\n

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The President of the Nigeria Academy of Pharmacy, Prince Julius Adelusi-Adeluyi, has called on pharmacists to increase their use of artificial intelligence in drug research to ensure medicine security.\n<\/p>\n

He stated this at the investiture of new fellows of the academy recently in Lagos.\n<\/p>\n

The president lauded the progress being made globally in the areas of big data, artificial intelligence and machine learning and the benefits therein for Nigeria.\n<\/p>\n

Adelusi-Adeluyi said, \u201cThere is a clear imperative for Nigerian pharmacists, pharmaceutical scientists, and medical professionals in the field of research and development to increasingly take advantage of the revolution in the new digital phenomenon.\u201d<\/p>\n

He urged the government to help create the right environment that makes meaningful research possible.\n<\/p>\n

He emphasised that AI was helping to make pharmaceutical research and new drug discovery less expensive and more productive. <\/p>\n

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He explained, \u201cResearchers realise that in the time that it would have taken to test the efficacy of say a handful of chemical molecules manually, with AI, it is possible to test several hundreds of different chemical molecules.<\/p>\n

\u201cWith AI, therefore, we can create better, safer, and more affordable medicines, within a much shorter time frame too. In addition to helping to ensure that basic facilities, including clean water and electricity, are available, government policy direction must also be such that deliberately enables AI to take root and grow.\u201d\n<\/p>\n

He stressed the need for pharmacists to enlighten the political leadership, including presidential aspirants on this issue and painstakingly interrogate them on their plans for utilising Nigeria\u2019s oil and gas deposits.\n<\/p>\n

\u201cThe political leadership needs to better appreciate why a petrochemical industry is critical to Nigeria and pharmacists have a role not only to continue to drive this enlightenment but also participate actively in the electoral process,\u201d Adelusi-Adeluyi asserted.\n<\/p>\n

 Speaking on reforms in the health sector, while presenting a paper titled \u2018Advancing Pharmacy for Economy Prosperity Nigeria\u2019, the President of the Pharmaceutical Society of Nigeria, Professor Cyril Usifoh, kicked against the step being taken to make the National Agency for Food and Drug Administration and Control a revenue-generating agency, noting that it would make the prices of drugs and medicines to soar.\n<\/p>\n

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Published at Wed, 21 Dec 2022 00:10:33 +0000<\/p>\n

A.I. is getting your holiday gifts to you more efficiently than ever – Fortune<\/a><\/p>\n

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At the beginning of 2020, before the pandemic, FedEx<\/a> launched a new program, FedEx Dataworks, with one goal in mind: leverage the power of artificial intelligence, machine learning, and decision science to put the company\u2019s immense amount of data from the physical world to work.<\/p>\n

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The program optimizes three main areas of shipping logistics with the benefits of A.I.: use insights to make the FedEx network operate more efficiently; give customers more visibility and control over their supply chains; and solve e-commerce-related challenges.<\/p>\n

It\u2019s a big undertaking but one that Sriram Krishnasamy, chief executive officer of FedEx Dataworks, says is the direction that logistics companies lean today: using data-driven, digital insights to inform decision-making and increase transparency. In the first six months, the team launched a predictive insights-based sensor data for added visibility for packages, which he says had an immediate impact on vaccine distribution. At the time of publishing, the team has rolled out more than 40 additional solutions currently being used by FedEx and its partners.<\/p>\n

\u201cFor most companies, the data generated across every aspect of the supply chain is something that they are simply trying to \u2018manage\u2019 rather than cultivate,\u201d says Krishnasamy. \u201cData and information are far too often trapped in silos, tracked and reported on without having their full strength realized.\u201d<\/p>\n

As every aspect of commerce undergoes radical change thanks to technology, the supply chain has seen its cracks exposed, especially during the pandemic. The nuances of the complex system, which its sole goal is to transport goods from a manufacturer to an end customer, are susceptible to several variables, and the growing unpredictable nature of consumer behavior has challenged the process. Logistics companies like FedEx, as well as DHL and Amazon<\/a>, have tapped into the potential of A.I. to help solve problems and get ahead of future hurdles. Why? The power of the technology to analyze billions of data points quickly provides useful insights for a logistics team to make educated decisions.<\/p>\n

Kraig Foreman, president of e-commerce at DHL, says that the shift from brick-and-mortar retail with the exponential growth of e-commerce to online shopping has demanded operational growth from any company touching the supply chain. When customers predominantly shopped in-store, predictive modeling was much simpler. Stores knew, for example, that holiday shoppers would likely step inside after work hours or on the weekends, ensuring shelves were stocked at those times.<\/p>\n

With e-commerce, that customer behavior went out the storefront window. Now, customers shop at any hour of the day, sometimes even placing orders back-to-back. That threw a wrench into the entire system, putting pressure on warehouses to have more stock at all times and shipping companies to figure out how to get goods to the paying customers as quickly as they historically picked them up from in-store shelves.<\/p>\n

\u201cYou\u2019d put it in your car and deliver the package home to yourself,\u201d Foreman says of past consumers. \u201cNow you\u2019re expecting the supply-chain and logistics arm of that industry to do that for you: find that item, pick it, pack it, put it in a bag, check you out, and deliver it to your home on your behalf\u2014the complexity in that.\u201d<\/p>\n

For the warehouse component, A.I. is critical to its success. Foreman says that models can be run to predict needs for orders to coincide with a marketing push (such an Instagram<\/a> influencer partnership), and machine learning powers the strategy of assisted picking robots who source items in warehouses. The work being done today addresses how to add more inputs to daily forecasting models to better predict needs tomorrow outside of major manipulations like holidays and marketing campaigns.<\/p>\n

At Amazon, A.I. predicts scenarios or limitations that would affect its \u201cdelivery promises\u201d\u2014or the date at which a customer expects to receive their order\u2014including everything from how many seasonal associates are required in a metro area to minimum number of orders needed to meet demand. Adam Baker, vice president of global transportation at Amazon, says that some of the forecasting begins years in advance. Since adopting the tech in 2016, A.I. has shown inefficiencies in speed, cost, and carbon impact, equipping the Amazon team with necessary information to adapt and evolve to streamline the whole process.<\/p>\n

A.I. has been particularly impactful at Amazon for its last-mile network\u2014the partners and carriers that deliver packages from freight centers to the customer\u2019s door. Routing is a primary recipient of the technology, with algorithms calculating optimal maps and routes that are safe and achievable for millions of deliveries each day, explains Beryl Tomay, the vice president of last-mile delivery tech at Amazon. She also says that A.I. has been integral to meeting sustainability goals by using environmental and physical considerations\u2014including distance, attitude change, air temperature, and vehicle model\u2014to predict energy consumption for each route. From there, the team adopted alternative delivery methods\u2014including bicyclists, walkers, and electric Rivian vans\u2014in more than 100 cities across the U.S., a project achieved in just three years thanks to the speed and efficiency of A.I. technology.<\/p>\n

However, A.I. for shipping logistics remains in its infancy\u2014and it\u2019s hardly perfect. Many e-commerce customers can regale listeners with a story (or three) when a gift arrived late or when the online tracking provided the wrong date. Companies still grapple with reckoning sustainability initiatives with emissions from getting goods from point A to point B. And the infrastructure of American shipping systems doesn\u2019t directly translate to technological innovations like electric vehicles. Courtney Muller, president and chief corporate development officer at Manifest, a logistics and supply-chain conference, notes that in 2023, 130 billion parcels are expected to be shipped around the world; by 2026, that number will double to 262 billion.<\/p>\n

\u201cThat\u2019s a short window for these shippers to figure out how to double their capacity for shipping,\u201d Muller says. \u201cWhen you start employing A.I. behind these really complex problems, you suddenly open up solutions no one thought of before.\u201d<\/p>\n<\/div>\n

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Published at Wed, 21 Dec 2022 00:10:22 +0000<\/p>\n","protected":false},"excerpt":{"rendered":"

Pharmacy academy seeks AI use in research – PunchNG The President of the Nigeria Academy…<\/p>\n","protected":false},"author":3,"featured_media":6549,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-6550","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/techclot.com\/wp-content\/uploads\/2022\/12\/qbsseP.jpg?fit=800%2C372&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3orZX-1HE","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/6550","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/comments?post=6550"}],"version-history":[{"count":0,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/6550\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media\/6549"}],"wp:attachment":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media?parent=6550"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/categories?post=6550"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/tags?post=6550"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}