News
Mars travelers can use ‘Star Trek’ Tricorder-like features using smartphone biotech: study
Plans to take humans to the Moon and Mars come with numerous challenges, and the health of space travelers is no exception. One of the ways any ill-effects can be prevented or mitigated is by detecting relevant changes in the body and the body’s surroundings, something that biosensor technology is specifically designed to address on Earth. However, the small size and weight requirements for tech used in the limited habitats of astronauts has impeded its development to date.
A recent study of existing smartphone-based biosensors by scientists from Queen’s University Belfast (QUB) in the UK identified several candidates under current use or development that could be also used in a space or Martian environment. When combined, the technology could provide functionality reminiscent of the “Tricorder” devices used for medical assessments in the Star Trek television and movie franchises, providing on-site information about the health of human space travelers and biological risks present in their habitats.
Biosensors focus on studying biomarkers, i.e., the body’s response to environmental conditions. For example, changes in blood composition, elevations of certain molecules in urine, heart rate increases or decreases, and so forth, are all considered biomarkers. Health and fitness apps tracking general health biomarkers have become common in the marketplace with brands like FitBit leading the charge for overall wellness sensing by tracking sleep patterns, heart rate, and activity levels using wearable biosensors. Astronauts and other future space travelers could likely use this kind of tech for basic health monitoring, but there are other challenges that need to be addressed in a compact way.
The projected human health needs during spaceflight have been detailed by NASA on its Human Research Program website, more specifically so in its web-based Human Research Roadmap (HRR) where the agency has its scientific data published for public review. Several hazards of human spaceflight are identified, such as environmental and mental health concerns, and the QUB scientists used that information to organize their study. Their research produced a 20-page document reviewing the specific inner workings of the relevant devices found in their searches, complete with tables summarizing each device’s methods and suitability for use in space missions. Here are some of the highlights.

Risks in the Spacecraft Environment
During spaceflight, the environment is a closed system that has a two-fold effect: One, the immune system has been shown to decrease its functionality in long-duration missions, specifically by lowering white blood cell counts, and two, the weightless and non-competitive environment make it easier for microbes to transfer between humans and their growth rates increase. In one space shuttle era study, the number of microbial cells in the vehicle able to reproduce increased by 300% within 12 days of being in orbit. Also, certain herpes viruses, such as those responsible for chickenpox and mononucleosis, have been reactivated under microgravity, although the astronauts typically didn’t show symptoms despite the presence of active viral shedding (the virus had surfaced and was able to spread).
Frequent monitoring of the spacecraft environment and the crew’s biomarkers is the best way to mitigate these challenges, and NASA is addressing these issues to an extent with traditional instruments and equipment to collect data, although often times the data cannot be processed until the experiments are returned to Earth. An attempt has also been made to rapidly quantify microorganisms aboard the International Space Station (ISS) via a handheld device called the Lab-on-a-Chip Application Development-Portable Test System (LOCAD-PTS). However, this device cannot distinguish between microorganism species yet, meaning it can’t tell the difference between pathogens and harmless species. The QUB study found several existing smartphone-based technologies generally developed for use in remote medical care facilities that could achieve better identification results.

One of the devices described was a spectrometer (used to identify substances based on the light frequency emitted) which used the smartphone’s flashlight and camera to generate data that was at least as accurate as traditional instruments. Another was able to identify concentrations of an artificial growth hormone injected into cows called recominant bovine somatrotropin (rBST) in test samples, and other systems were able to accurately detect cyphilis and HIV as well as the zika, chikungunya, and dengue viruses. All of the devices used smartphone attachments, some of them with 3D-printed parts. Of course, the types of pathogens detected are not likely to be common in a closed space habitat, but the technology driving them could be modified to meet specific detection needs.
The Stress of Spaceflight
A group of people crammed together in a small space for long periods of time will be impacted by the situation despite any amount of careful selection or training due to the isolation and confinement. Declines in mood, cognition, morale, or interpersonal interaction can impact team functioning or transition into a sleep disorder. On Earth, these stress responses may seem common, or perhaps an expected part of being human, but missions in deep space and on Mars will be demanding and need fully alert, well-communicating teams to succeed. NASA already uses devices to monitor these risks while also addressing the stress factor by managing habitat lighting, crew movement and sleep amounts, and recommending astronauts keep journals to vent as needed. However, an all-encompassing tool may be needed for longer-duration space travels.
As recognized by the QUB study, several “mindfulness” and self-help apps already exist in the market and could be utilized to address the stress factor in future astronauts when combined with general health monitors. For example, the popular FitBit app and similar products collect data on sleep patterns, activity levels, and heart rates which could potentially be linked to other mental health apps that could recommend self-help programs using algorithms. The more recent “BeWell” app monitors physical activity, sleep patterns, and social interactions to analyze stress levels and recommend self-help treatments. Other apps use voice patterns and general phone communication data to assess stress levels such as “StressSense” and “MoodSense”.

Advances in smartphone technology such as high resolution cameras, microphones, fast processing speed, wireless connectivity, and the ability to attach external devices provide tools that can be used for an expanding number of “portable lab” type functionalities. Unfortunately, though, despite the possibilities that these biosensors could mean for human spaceflight needs, there are notable limitations that would need to be overcome in some of the devices. In particular, any device utilizing antibodies or enzymes in its testing would risk the stability of its instruments thanks to radiation from galactic cosmic rays and solar particle events. Biosensor electronics might also be damaged by these things as well. Development of new types of shielding may be necessary to ensure their functionality outside of Earth and Earth orbit or, alternatively, synthetic biology could also be a source of testing elements genetically engineered to withstand the space and Martian environments.
The interest in smartphone-based solutions for space travelers has been garnering more attention over the years as tech-centric societies have moved in the “app” direction overall. NASA itself has hosted a “Space Apps Challenge” for the last 8 years, drawing thousands of participants to submit programs that interpret and visualize data for greater understanding of designated space and science topics. Some of the challenges could be directly relevant to the biosensor field. For example, in the 2018 event, contestants are asked to develop a sensor to be used by humans on Mars to observe and measure variables in their environments; in 2017, contestants created visualizations of potential radiation exposure during polar or near-polar flight.
While the QUB study implied that the combination of existing biosensor technology could be equivalent to a Tricorder, the direct development of such a device has been the subject of its own specific challenge. In 2012, the Qualcomm Tricorder XPRIZE competition was launched, asking competitors to develop a user-friendly device that could accurately diagnose 13 health conditions and capture 5 real-time health vital signs. The winner of the prize awarded in 2017 was Pennsylvania-based family team called Final Frontier Medical Devices, now Basil Leaf Technologies, for their DxtER device. According to their website, the sensors inside DxtER can be used independently, one of which is in a Phase 1 Clinical Trial. The second place winner of the competition used a smartphone app to connect its health testing modules and generate a diagnosis from the data acquired from the user.
The march continues to develop the technology humans will need to safely explore regions beyond Earth orbit. Space is hard, but it was hard before we went there the first time, and it was hard before we put humans on the moon. There may be plenty of challenges to overcome, but as the Queen’s University Belfast study demonstrates, we may already be solving them. It’s just a matter of realizing it and expanding on it.
Elon Musk
Elon Musk rips ABC News over fatal NYC Tesla crash report
Musk pushed back on NYC Tesla crash coverage, pointing to a pattern of premature blame.
Elon Musk pushed back overnight against media framing of a fatal Tesla crash in Midtown Manhattan, telling a user on X that “it wasn’t the car” and that the vehicle’s Autopilot system had nothing to do with the wreck.
The crash happened just before 3 a.m. Wednesday, when a 2024 Tesla Model Y struck a sidewalk shed outside 315 Madison Ave., a bus stop pole and a mailbox on East 42nd Street, according to the NYPD. The car kept moving several more blocks before stopping near Second Avenue. Both women inside, each 27, were taken to Bellevue Hospital, where the passenger was pronounced dead. The driver was charged with vehicular manslaughter, driving while ability impaired and leaving the scene of an accident.
Police have not attributed the crash to Autopilot or Full Self-Driving in any public statement. The charges point to impairment, not software. Musk’s response followed a since-deleted ABC News post that he said mischaracterized the incident. Replying to a user on X, Musk wrote that if Autopilot had been engaged, “they would not have crashed,” and added that “the legacy media will never forgive Tesla for failing to advertise with them,”
The legacy media will never forgive Tesla for failing to advertise with them
— Elon Musk (@elonmusk) September 9, 2026
It’s a familiar cycle for Tesla. In June, headlines from several national outlets described a fatal crash in Katy, Texas, as happening while the car was “on autopilot,” based on the driver’s own account to police after his Model 3 struck a home and killed a 76-year-old woman. Tesla’s data told a different story when Ashok Elluswamy, Tesla’s head of AI, said the driver had pressed the accelerator to 100% and reached 73 mph in a residential zone. Harris County prosecutors later confirmed the human override and the driver was charged with manslaughter.
Florida Gov. Ron DeSantis pointed to that same Katy crash last month to argue that outlets routinely name Tesla in crash headlines while leaving other automakers unnamed, even after a driver’s own actions are shown to be the cause. A similar pattern played out in 2024, when Musk had to clarify that FSD was never even downloaded onto the Model 3 involved in a fatal Colorado DUI crash, despite a passenger’s claim that an “auto drive feature” was in use.
Tesla has not issued a separate statement on the Manhattan crash beyond Musk’s posts on X. The NYPD’s investigation is ongoing, and no cause for the driver losing control has been released.
News
Tesla’s two defunct flagship models are getting a big upgrade
Tesla’s two recently-defunct flagship models, the Model S and Model X, are getting a big upgrade, according to the company’s Head of AI, Ashok Elluswamy.
Older Hardware 3 Model S and Model X vehicles have been the last major holdouts in Tesla’s Full Self-Driving v14 Lite rollout, and that wait now appears to be ending.
Tesla brings closure to flagship ‘sentimental’ models, Musk confirms
At Tesla’s Cybercab launch, AI chief Ashok Elluswamy told Ryan McCaffrey that he thought the S and X build “was supposed to go out last week.” Evidently, Elluswamy expects the suite to be rolled out to those HW3 Model S and Model X very soon:
For my @Tesla friends – and specifically Model S & X owners with HW3 who are waiting on FSD v14 Lite – I spoke to @aelluswamy at the Cybercab launch, & when I asked for an ETA on v14 Lite for S/X owners, he said, “Oh, I thought it was supposed to go out last week.”
So: soon! 🙌
— Ryan McCaffrey (@DMC_Ryan) September 7, 2026
Those cars are not the current Model S and Model X, which already ship with Hardware 4. They are the pre-refresh flagships built around Tesla’s older Autopilot computer, often called HW3 or AI3.
Tesla stopped putting that computer in new vehicles years ago, which is why owners treat these S and X cars as a closed generation. Model 3 and Model Y vehicles on the same computer began receiving v14 Lite in late June 2026 and saw a wider North American expansion in July. South Korea followed as an early international market. The S and X versions of the same software never joined that wave.
v14 Lite is Tesla’s way of squeezing the current v14 driving stack onto hardware that cannot run the full AI 4 model. The company describes the process as distillation: behaviors learned on the newer computer, including reinforcement learning and offline models, are compressed so the older chip and cameras can use them as a guide.
Early descriptions put the distilled network at roughly 15 percent of the original size. The result is still supervised Level 2 driving. Tesla has been clear that HW3 cannot support unsupervised Full Self-Driving or robotaxi operation because of memory and bandwidth limits.
The feature list is what made the wait so frustrating for S and X owners, as plenty of new features are to be shipped with it.
Official notes for the first Lite build, firmware 2026.20.5.1, added parking, unparking, and reversing; arrival options for a parking lot, street, driveway, or curbside; speed profiles that stay available at all times; and start-from-park engagement. Tesla also claimed better handling of merges, forks, pedestrians, traffic lights, and cut-ins, plus fewer false slowdowns and smoother lane centering.
A mid-July follow-on build, 2026.20.6.10, added more of the Hardware 4 interface, including a standalone Self-Driving app and the ability to start a trip from Park without a brake-pedal confirmation.
Elluswamy called that version the one “likely going to wide release.”
That wide release already reached most other HW3 cars in the United States and Canada. International timing still depends on regional validation and regulatory approval. For S and X owners, the remaining work appears to be model-specific validation rather than a new software stack.
There is no official Tesla changelog or build number for those two models yet, only Elluswamy’s offhand timeline. Some HW3 drivers who already have Lite report large gains over v12.6; others have described new indecision or phantom braking. The next test will be whether the same software lands cleanly on the older flagships that have waited the longest.
Cybertruck
This tiny Tesla Cybertruck adjustment has big advantages
Yesterday, we reported on Tesla Cybertruck getting some major adjustments from a manufacturing standpoint in an effort to make the all-electric pickup more cost-effective, more reliable, more serviceable, and more easily produced.
Tesla Cybertruck engineer reveals new changes in ‘constantly evolving’ pickup
One of those changes was the addition of a self-reinforcing polypropylene aero shield that sits underneath the truck. Previously, Tesla utilized aluminum for this, but the self-reinforcing polypropylene was more durable while also being cheaper and lighter.
Tesla has revealed another small change it made to the Cybertruck, and it has to do with the side repeater cameras.
Tesla does not wait for a new model year to improve its vehicles. On September 8, Cybertruck lead engineer Wes Morrill posted side-by-side photos of an updated side repeater camera housing now rolling off the line at Gigafactory Texas.
The triangular camera pod mounted on the front fender looks almost identical at first glance. A closer look reveals a revised contour that uses the air already flowing around the truck to keep the lens clearer in rain and road spray.
The side repeater camera was updated – the version on the left is the newer part which uses passive geometry to create airflow disturbance that better keep water off the lens while driving. No cost penalty, just pure vision improvement. pic.twitter.com/wAbXtcL1Jf
— Wes (@wmorrill3) September 8, 2026
The side repeater cameras sit in an exposed position on the Cybertruck’s angular stainless-steel body.
In wet weather, they readily collect water droplets that can degrade the image Autopilot and Full Self-Driving use for lane changes and blind-spot monitoring. Early production trucks sometimes left owners wiping lenses by hand or accepting temporary restrictions on driver-assistance features.
Tesla has added washers to cameras on certain other models and on Cybercab prototypes, but those active systems add cost, complexity, and extra potential leak points.
The new housing solves the problem with passive geometry. Subtle changes in the surround create localized airflow disturbances as the vehicle moves. Those eddies physically push water droplets away from the optical surface. Morrill called the result “pure vision improvement” achieved at “no cost penalty.” Once the production mold is updated, every subsequent part costs the same as the original.
The advantages compound quickly. Clearer cameras in rain improve the reliability of driver-assistance features precisely when they are needed most. The design consumes no extra energy and introduces no new failure modes.
New Cybertrucks built after the tooling changeover receive the updated part automatically. Some owners of trucks delivered as late as June 2026 have already confirmed they received the revised housing. Retrofit questions have appeared in replies, and the cameras appear electrically compatible, though Tesla has not announced an official service program.
A few millimeters of reshaped housing will not make headlines the way a new battery pack does, but these changes are incremental and increase the Cybertruck’s effectiveness as a vehicle over time.
This improvement illustrates how Tesla continues to refine the Cybertruck after volume production began. Better wet-weather vision, zero added cost, and no extra hardware add up to a meaningful gain in everyday usability and safety.