Most Democratic-led states say they will continue to universally recommend and administer the hepatitis B vaccine at birth, despite new guidance against it issued last week by a federal vaccine advisory panel handpicked by Health and Human Services secretary Robert F. Kennedy Jr.

The Northeast Public Health Collaborative and the West Coast Health Alliance, which formed earlier this year in response to Kennedy’s concerning overhaul of vaccine policy, along with a other blue states, plan to to defy the latest recommendations made by the Centers for Disease Control and Prevention’s Advisory Committee on Immunization Practices, or ACIP.

Hepatitis B is a serious, incurable infection that can lead to liver damage and liver cancer. It can be passed from mother to child during delivery, and without vaccination, about 90 percent of infants infected at birth develop chronic hepatitis B infection. Among those with chronic infection, 25 percent will die prematurely from the disease.

Since 1991, ACIP and the American Academy of Pediatrics have recommended a universal dose of the hepatitis B vaccine within 24 hours after birth. The sooner a newborn gets the vaccine, the higher the chance of preventing chronic infection. The birth dose is credited with dramatically lowering infection rates in children. Yet last week, Kennedy’s newly formed ACIP, which includes several vaccine skeptics, overturned that 30-year precedent. In June, Kennedy announced a “clean sweep” of ACIP, removing all of its previous 17 experts and replacing them with new members of his choosing.

During a chaotic two-day meeting that was riddled with misinformation, the committee voted to recommend the hepatitis B vaccine at birth only for infants born to pregnant people who test positive for the virus or whose status is unknown. For those whose hepatitis B status is negative, the panel recommended “individual-based decision-making”—meaning parents should talk with their doctors about vaccination first. If the baby does not receive the first dose at birth, the panel suggests delaying the first dose until the child is at least two months old.

Medical experts have decried the decision, saying that screening across the US is imperfect and does not catch all infections. Half of people who have it don’t know that they’re infected.

“The United States went through several iterations of recommendations for vaccinating against hepatitis B that were all risk-based. We tried screening mothers, we tried only vaccinating babies born to mothers living with hepatitis B, and they all failed. The universal birth dose was the ultimate success and the reason why we’ve seen childhood hepatitis B cases decline by 99 percent since we implemented it,” says Michaela Jackson, director of prevention policy at the Hepatitis B Foundation.

In the horticultural world, some vines are especially grabby. As they grow, the woody tendrils can wrap around obstacles with enough force to pull down entire fences and trees.

Inspired by vines’ twisty tenacity, engineers at MIT and Stanford University have developed a robotic gripper that can snake around and lift a variety of objects, including a glass vase and a watermelon, offering a gentler approach compared to conventional gripper designs. A larger version of the robo-tendrils can also safely lift a human out of bed.

The new bot consists of a pressurized box, positioned near the target object, from which long, vine-like tubes inflate and grow, like socks being turned inside out. As they extend, the vines twist and coil around the object before continuing back toward the box, where they are automatically clamped in place and mechanically wound back up to gently lift the object in a soft, sling-like grasp.

The researchers demonstrated that the vine robot can safely and stably lift a variety of heavy and fragile objects. The robot can also squeeze through tight quarters and push through clutter to reach and grasp a desired object.

The team envisions that this type of robot gripper could be used in a wide range of scenarios, from agricultural harvesting to loading and unloading heavy cargo. In the near term, the group is exploring applications in eldercare settings, where soft inflatable robotic vines could help to gently lift a person out of bed.

“Transferring a person out of bed is one of the most physically strenuous tasks that a caregiver carries out,” says Kentaro Barhydt, a PhD candidate in MIT’s Department of Mechanical Engineering. “This kind of robot can help relieve the caretaker, and can be gentler and more comfortable for the patient.”

Barhydt, along with his co-first author from Stanford, O. Godson Osele, and their colleagues, present the new robotic design today in the journal Science Advances. The study’s co-authors are Harry Asada, the Ford Professor of Engineering at MIT, and Allison Okamura, the Richard W. Weiland Professor of Engineering at Stanford University, along with Sreela Kodali and Cosmia du Pasquier at Stanford University, and former MIT graduate student Chase Hartquist, now at the University of Florida, Gainesville.

Open and closed

The team’s Stanford collaborators, led by Okamura, pioneered the development of soft, vine-inspired robots that grow outward from their tips. These designs are largely built from thin yet sturdy pneumatic tubes that grow and inflate with controlled air pressure. As they grow, the tubes can twist, bend, and snake their way through the environment, and squeeze through tight and cluttered spaces.

Researchers have mostly explored vine robots for use in safety inspections and search and rescue operations. But at MIT, Barhydt and Asada, whose group has developed robotic aides for the elderly, wondered whether such vine-inspired robots could address certain challenges in eldercare — specifically, the challenge of safely lifting a person out of bed. Often in nursing and rehabilitation settings, this transfer process is done with a patient lift, operated by a caretaker who must first physically move a patient onto their side, then back onto a hammock-like sheet. The caretaker straps the sheet around the patient and hooks it onto the mechanical lift, which then can gently hoist the patient out of bed, similar to suspending a hammock or sling.

The MIT and Stanford team imagined that as an alternative, a vine-like robot could gently snake under and around a patient to create its own sort of sling, without a caretaker having to physically maneuver the patient. But in order to lift the sling, the researchers realized they would have to add an element that was missing in existing vine robot designs: Essentially, they would have to close the loop.

Most vine-inspired robots are designed as “open-loop” systems, meaning they act as open-ended strings that can extend and bend in different configurations, but they are not designed to secure themselves to anything to form a closed loop. If a vine robot could be made to transform from an open loop to a closed loop, Barhydt surmised that it could make itself into a sling around the object and pull itself up, along with whatever, or whomever, it might hold.

For their new study, Barhydt, Osele, and their colleagues outline the design for a new vine-inspired robotic gripper that combines both open- and closed-loop actions. In an open-loop configuration, a robotic vine can grow and twist around an object to create a firm grasp. It can even burrow under a human lying on a bed. Once a grasp is made, the vine can continue to grow back toward and attach to its source, creating a closed loop that can then be retracted to retrieve the object.

“People might assume that in order to grab something, you just reach out and grab it,” Barhydt says. “But there are different stages, such as positioning and holding. By transforming between open and closed loops, we can achieve new levels of performance by leveraging the advantages of both forms for their respective stages.”

Gentle suspension

As a demonstration of their new open- and closed-loop concept, the team built a large-scale robotic system designed to safely lift a person up from a bed. The system comprises a set of pressurized boxes attached on either end of an overhead bar. An air pump inside the boxes slowly inflates and unfurls thin vine-like tubes that extend down toward the head and foot of a bed. The air pressure can be controlled to gently work the tubes under and around a person, before stretching back up to their respective boxes. The vines then thread through a clamping mechanism that secures the vines to each box. A winch winds the vines back up toward the boxes, gently lifting the person up in the process.

“Heavy but fragile objects, such as a human body, are difficult to grasp with the robotic hands that are available today,” Asada says. “We have developed a vine-like, growing robot gripper that can wrap around an object and suspend it gently and securely.”

“There’s an entire design space we hope this work inspires our colleagues to continue to explore,” says co-lead author Osele. “I especially look forward to the implications for patient transfer applications in health care.”

“I am very excited about future work to use robots like these for physically assisting people with mobility challenges,” adds co-author Okamura. “Soft robots can be relatively safe, low-cost, and optimally designed for specific human needs, in contrast to other approaches like humanoid robots.”

While the team’s design was motivated by challenges in eldercare, the researchers realized the new design could also be adapted to perform other grasping tasks. In addition to their large-scale system, they have built a smaller version that can attach to a commercial robotic arm. With this version, the team has shown that the vine robot can grasp and lift a variety of heavy and fragile objects, including a watermelon, a glass vase, a kettle bell, a stack of metal rods, and a playground ball. The vines can also snake through a cluttered bin to pull out a desired object.

“We think this kind of robot design can be adapted to many applications,” Barhydt says. “We are also thinking about applying this to heavy industry, and things like automating the operation of cranes at ports and warehouses.”

This work was supported, in part, by the National Science Foundation and the Ford Foundation.

Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of what Instagram considers to be your top, recent interests. This kind of peek behind the algorithmic curtain is already uncommon in social media apps, but Meta is taking it a step further by allowing Instagram users to influence their algorithm directly by picking topics they want to see more or less often in Reels.

This feature, called “Your Algorithm,” drops as Instagram and TikTok continue to battle for prominence with younger users. It’s these users who potentially want more control over what they’re consuming as they scroll through video feeds, as well as other personalization options. The new feature is landing on Instagram first for those in the US, with a global rollout for English users in the works.

The change arrives around the same time as the European Commission claims Meta will offer users in the European Union more options about how their data is being used for personalized ads. Instagram’s current approach, where users can pay a subscription to not see ads, does not meet the standards for choice set up under the Digital Markets act, according to the EU. Users in this locale are expected to see a choice soon whether to share all their data, or opt for a smaller sliver to be used for advertising purposes.

Instagram currently has the lead in overall app adoption among young users, but TikTok isn’t that far off. According to a 2025 study by the Pew Research Center, 80 percent of US adults under 30 used Instagram whereas 63 percent used TikTok.

When a user opens the new “Your Algorithm” tab on Instagram, they’ll see a brief summary of what they’ve “been into” while scrolling through Reels. The topics displayed are based on recent user activity, and the summaries are made using generative AI. Meta’s examples of topics that users could add with the new feature include “Horror movies,” “Chess,” and “College football.”