Shark likely caused swimmer's injuries at Jones Beach, officials say
Video shows crowd push shark in distress back into water at Rockaway Beach
Video shows crowd push shark in distress back into water at Rockaway Beach
Video shows crowd push shark in distress back into water at Rockaway Beach
A woman injured while swimming at Long Island's Jones Beach was likely bitten by a shark, New York State Parks officials concluded.
The 20-year-old beachgoer reported getting bitten by an unknown marine animal in waste-deep water at the Central Mall beachfront, State Parks officials said.
The New York State Department of Environmental Conservation concluded a juvenile sand tiger shark was the most likely culprit after reviewing pictures of the woman's injuries and other information about the incident.
Swimming suspended at Jones Beach after suspected shark bite
The woman was treated for minor cuts to her foot and leg before being taken to Nassau County University Medical Center for non-life-threatening injuries late Wednesday afternoon, officials said.
Swimming was immediately suspended and a subsequent drone search for "dangerous marine life" was unsuccessful, they added.
Another drone search for sharks came up empty before swimming resumed Thursday morning. Lifeguards also scanned the water from shore and watercraft before declaring it was safe, officials said.
Ways to steer clear of sharks at the beach
New York State Parks says swimmers can do the following to minimize the risk of shark interactions:
Avoid areas with seals
Avoid areas with schools of fish, splashing fish, or diving seabirds
Avoid swimming at dusk, night, and dawn
Avoid murky water
Swim, paddle, and surf in groups
Stay close to shore, where your feet can touch the bottom
Always follow the instructions of lifeguards and Parks' staff
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Yahoo
30 minutes ago
- Yahoo
AI in drug discovery: from hypothetical to reality
AI has been a buzzword in the pharmaceutical industry for almost a decade, with countless headlines promising to revolutionise how drugs are discovered, developed, and deployed. The hype has typically outpaced reality; however, with a growing number of AI-generated drug candidates entering clinical trials, we find ourselves at a crucial potential turning point for the field. As the first AI-designed molecules begin clinical trials, the industry is watching closely to see if AI can deliver novel, successful therapies or if it will remain a supporting tool in an already complex research process. AI is not a single technology, but a broad set of computational tools that can support nearly every stage of drug development. In early discovery, AI can help identify novel targets, generate new chemical compounds, predict how drugs will interact with proteins, and optimise lead compounds (promising compounds that show potential as an effective drug) for desirable properties. In later stages, it is increasingly used to select patients for clinical trials, repurpose existing drugs, and predict adverse effects. Early attention focused on the ability of generative AI models, particularly deep learning and reinforcement learning frameworks, to create candidate compounds faster than any human chemist, with a theoretical ability to explore vast chemical spaces more efficiently than traditional methods. AI-designed candidates used to remain confined to in silico (computational) experiments or the preclinical stage. That is now changing. In the past two years, several AI-designed drugs have advanced into human trials, providing the first real-world test of these technologies in the clinic. Insilico Medicine, a Hong Kong- and New York-based AI biotech company, gained attention in 2023 when it announced that its drug candidate INS018_055, developed using its proprietary platform, had entered Phase II trials (testing effectiveness and safety). The compound was designed from scratch using generative models trained on structural data, an early confirmation that AI can do more than just screen libraries. Other companies such as BenevolentAI, Recursion, Schrödinger, and Relay Therapeutics are advancing candidates identified, optimised, or prioritised using AI tools, though not all are strictly 'AI-generated'. Importantly, these companies are not just discovering molecules but also positioning themselves as drug developers and strategic collaborators. Big pharma has increasingly embraced AI, using partnerships, joint ventures, and acquisitions to reduce risk in target selection and accelerate early-stage drug development. A prime example is this deal between Sanofi and Exscientia, worth up to $5.2bn, focused on AI-designed small molecules across oncology and immunology. Furthermore, AstraZeneca has been collaborating with BenevolentAI to identify new drug targets in chronic kidney disease and fibrosis. Pfizer, Bayer, Merck, and Roche have all partnered with AI-native biotechs or built their own internal capabilities, often focused on areas such as rare diseases, central nervous system disorders, or target deconvolution. These collaborations reflect a broader shift in mindset: AI is increasingly seen not as a competitor to traditional research and development (R&D), but as a strategic enabler, using human expertise to improve accuracy and compress timelines in high-risk areas. The core value proposition of AI in drug discovery is speed and efficiency. Drug development typically costs over $2bn and can take 10-15 years per new drug. AI promises to shorten the time from target identification to candidate nomination by rapidly generating hit compounds, improving target-disease linkage accuracy, and selecting better patient populations for trials. Insilico, for example, claimed that INS018_055 progressed from target discovery to Investigational New Drug filing in under 30 months, significantly faster than industry averages. However, real-world validation of these efficiency claims is still pending, and it remains unclear whether AI shortens timelines in later-stage development, where most costs and failures still occur. Moreover, regulatory pathways for AI-designed drugs are still evolving. While the molecules themselves follow industry standards, questions remain around intellectual property ownership, algorithm transparency, and validation of model-generated hypotheses. The excitement around AI in drug discovery has driven enormous investor interest, bringing volatility along with it. Many AI-first biotech companies raised substantial capital through initial public offerings or special-purpose acquisition companies (SPACs) deals during the 2021-22 biotech boom. 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Looking further ahead, AI could diversify drug development by enabling smaller companies to design high-quality molecules without vast lab infrastructure. It may also unlock progress in rare diseases, neglected indications, or emerging pathogens, where traditional business models struggle to justify investment. Beyond small molecules, AI is also being explored in biologics design, protein engineering, messenger ribonucleic acid optimisation, and clinical trial design, suggesting its impact could extend across the entire pharmaceutical value chain. AI is no longer just a futuristic concept in pharma; it is producing real assets, forming strategic alliances, and slowly earning its place in the clinical pipeline. However, expectations remain high, and the burden of proof now rests on human trials, not machine models. As the first wave of AI-designed drugs enters mid-stage development, the industry will be watching not just for approvals, but for evidence that AI can improve outcomes, accelerate timelines, and reduce costs in a field where failure is still the norm. If successful, the next decade may not just belong to AI, it may be designed by it. "AI in drug discovery: from hypothetical to reality" was originally created and published by Pharmaceutical Technology, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. 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New York Times
an hour ago
- New York Times
4th of July Sales Are Already Happening. Here Are the Best Deals Available.
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Read more: The Best, Most Comfortable Bras ThirdLove 24/7 Classic Uplift Plunge Bra This pretty plunge bra is a sexy, supportive option offering outstanding comfort. It comes with removable push-up pads for a little extra oomph and is available in larger band sizes and half sizes. Other things to know: May not be supportive enough for larger busts. Sizes AA to H cup (including some half-cup sizes) and 32- to 44-inch band; not every cup size is offered for every band size. On sale in rose dust, amethyst, or coral with code LUV-WIRECUTTER. Read more: The Best Bras Saxx Non-Stop Stretch Cotton Boxer Brief (pack of three) Other things to know: Waistband is as close to perfect as we've found, but it rolled in certain situations. Machine-washable. Comes in sizes XS to XXL, with a 5-inch inseam. Use code PR-WCTRAVEL to get the deal price for a three-pack. Read more: The Best Men's Boxer Briefs Editor's note: The photo at the top of this article may reflect previous deals that are no longer valid and have been removed. Check out our Deals page for more great discounts on Wirecutter's expert-approved picks. This article was edited by Janie Campbell and Nathan Burrow. Here's what the Wirecutter Deals team is looking for when they hunt for the best prices on Wirecutter picks every day of the week. The Wirecutter Deals team breaks down a few simple ways to save money all year long.
Health Line
an hour ago
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A Liver Ultrasound: What This Procedure Means
Your doctor may recommend a liver ultrasound to check for signs of liver disease, and knowing what to expect can help put you at ease. A liver ultrasound is one of a few tests your doctor can order if they want to check your liver. An ultrasound scan (also known as sonography) is a noninvasive procedure that captures live images of your organs using high-frequency sound waves. A liver ultrasound is an essential tool that helps doctors see your liver and its blood vessels in real time. It's a type of abdominal ultrasound. If your doctor has ordered a liver ultrasound, it might mean they want to confirm or rule out a liver condition. Keep reading to learn what conditions a liver ultrasound can detect, what to expect from the procedure, how accurate it is, how much you might need to pay for it, and other useful information. Why is an ultrasound needed to test for liver disease? Liver disease is a general term that refers to a group of conditions affecting your liver. These conditions may have different causes, but all of them can damage your liver and affect your general health. Some of the most common liver conditions are: hepatitis, or inflammation of the liver steatotic liver disease, formerly known as fatty liver disease, or a buildup of fat in the liver autoimmune liver disorders, which result from your immune system mistakenly attacking the cells in your liver liver cancer liver fibrosis, cirrhosis, and liver failure, which involve scarring and damage from liver disease Doctors usually recommend liver ultrasounds for the following reasons: if you show symptoms of liver disease, such as jaundice or pain in the upper right portion of the abdomen (where the liver is located) if you have high liver enzymes on a blood test called the liver function test as a screening tool for liver conditions The purpose of a liver ultrasound is to visualize your liver and record its blood flow. This helps doctors confirm or rule out liver conditions. What should you see on an ultrasound for liver disease? Liver ultrasounds don't usually require special preparation, but your doctor may ask you not to eat or drink anything several hours before the procedure. During the scan, you'll lie still on a scanning table. An ultrasound technician will place a scanner in different spots around the upper right segment of your abdomen. The resulting images will show up on a computer screen in real time. After the ultrasound is done, a doctor will check the ultrasound images. They will look for the following signs of liver disease: liver inflammation, a sign of hepatitis a buildup of fat associated with steatotic liver disease masses or lesions, which can indicate liver cancer changes in the appearance of the liver, such as nodules, which can signify cirrhosis Is a liver ultrasound accurate? A liver ultrasound is a useful tool in identifying certain types of liver disease. It's often the first test your doctor will order if they suspect a liver condition. It's a quick, safe, painless, and relatively inexpensive test. In the past, doctors relied more heavily on liver biopsy to diagnose, stage, and grade liver disease. However, newer research indicates that new liver ultrasound technologies are able to accurately detect liver disease. What does an ultrasound cost for liver disease? On average, an abdominal liver scan can cost around $1,400. However, most health insurance providers cover this procedure. Liver ultrasound costs will vary based on: where you live whether you have medical insurance the type of ultrasound Frequently asked questions How do you diagnose fatty liver disease? A doctor can diagnose steatotic liver disease using a combination of the following tests: liver ultrasound X-ray, CT, or MRI scans of the abdomen transient elastography (also known as FibroScan), shear wave elastography, or acoustic radiation force impulse imaging, which assesses liver stiffness magnetic resonance elastography (MRE), which combines MRI with low frequency sound waves to create a visual map showing liver stiffness Can you get an ultrasound for alcohol liver disease? Long-term, excessive alcohol use can lead to a buildup of fat in the liver known as alcohol-associated liver disease (ALD), or steatosis. Metabolic dysfunction and alcohol-related liver disease (MetALD), a form of alcohol-related liver disease (ARLD), refers to liver damage due to alcohol use along with other risk factors, such as obesity or diabetes. It causes liver inflammation and scarring and can eventually lead to cirrhosis. Liver ultrasound is one of the tests used to diagnose fat in the liver. Other tests may include: a complete blood count (CBC) a liver function test CT or MRI scans a liver biopsy Is there an ultrasound for liver disease in dogs? Similar to humans, abdominal ultrasounds are commonly used in dogs and cats when a vet suspects a liver condition. Symptoms of liver disease in pets can be subtle but may include: appetite issues orange urine jaundice weight loss excessive drinking or excessive urinating light colored stool Can an abdominal ultrasound check for chronic liver disease and hepatocellular carcinoma surveillance? Certain types of liver disease can increase your risk of developing liver cancer, also known as hepatocellular carcinoma (HCC). Because of that, doctors recommend regular screening for HCC in people with cirrhosis, hepatitis B, or hepatitis C every 6 months.
