News
Researchers develop artificial intelligence that can identify cancer cells
Scientists from Osaka University in Japan have developed artificial intelligence (AI) that can identify different types of cancers based on microscopy images of their cells. The AI was also able to determine whether the cancer cells were resistant to radiation, and further learned the differences between human and animal cancers. Since the accuracy and timeliness of traditional methods of identifying cancer cells are prone to delays and errors, an accurate and automated system for accomplishing this would be beneficial to cancer research and treatment overall. The results of the scientists’ research were published in the December 2018 issue of Cancer Research.
The type of AI developed for the cell identification is called a convolutional neural network (CNN); it’s loosely based on the connectivity patterns used by neurons in the brain and primarily used for classifying images. As described in their publication, the scientists used a training set of 10,000 images each of human cervical cancer cells (ME-180) and mouse squamous cancer cells (NR-S1), e.g., the thin, flat types of cells found on the surface of the skin and thin linings around various organs throughout the body. They also included images of radioresistant clones with the set, and ultimately obtained a 96% accuracy in a 2,000 image test.
Because the types of cells in a single cancerous tumor can vary widely, identifying the specific cells present is important for determining the best treatment. Thus, having a tool to provide this information quickly and accurately could have a significant impact. The Osaka team hopes to expand the types of cancers their AI can identify and ultimately establish a universal system that can identify all cancer cell types.
Using artificial intelligence in the battle against cancer is being explored throughout the world as the number of uses devised expands. In one notable instance, a team of scientists from The Institute of Cancer Research in London and the University of Edinburgh has developed an AI technique called REVOLVER (repeated evolution of cancer) which identifies DNA mutation patterns in cancers to predict the ways they will change in response to treatment. Similar to how bacteria become resistant to antibiotics, so too can cancers become resistant to the drugs used against them. By removing the unpredictability variable in cancer behavior, scientists would be able to stay ahead of the disease’s progress and tailor treatments accordingly.
The collaboration between AI and healthcare overall is growing, not just in cancer research – even Google is making contributions to the field. Fortunately, the agencies regulating developments are also attuned to the changes. Earlier this year at the AcademyHealth 2018 Health Datapalooza, the U.S. Food and Drug Administration (FDA) Commissioner Scott Gottlieb, MD signaled the agency’s positive position towards the field. “AI holds enormous promise for the future of medicine, and we’re actively developing a new regulatory framework to promote innovation in this space and support the use of AI-based technologies,” he stated at the event. He also referred to the agency’s plans to streamline their regulations and tools to be sufficiently flexible to handle the rapid pace of advancements and “focus on the ways in which real-world data flows.”
Investor's Corner
Tesla Q4 delivery numbers are better than they initially look: analyst
The Deepwater Asset Management Managing Partner shared his thoughts in a post on his website.
Longtime Tesla analyst and Deepwater Asset Management Managing Partner Gene Munster has shared his insights on Tesla’s Q4 2025 deliveries. As per the analyst, Tesla’s numbers are actually better than they first appear.
Munster shared his thoughts in a post on his website.
Normalized December Deliveries
Munster noted that Tesla delivered 418k vehicles in the fourth quarter of 2025, slightly below Street expectations of 420k but above the whisper number of 415k. Tesla’s reported 16% year-over-year decline, compared to +7% in September, is largely distorted by the timing of the tax credit expiration, which pulled forward demand.
“Taking a step back, we believe September deliveries pulled forward approximately 55k units that would have otherwise occurred in December or March. For simplicity, we assume the entire pull-forward impacted the December quarter. Under this assumption, September growth would have been down ~5% absent the 55k pull-forward, a Deepwater estimate tied to the credit’s expiration.
“For December deliveries to have declined ~5% year over year would imply total deliveries of roughly 470k. Subtracting the 55k units pulled into September results in an implied December delivery figure of approximately 415k. The reported 418k suggests that, when normalizing for the tax credit timing, quarter-over-quarter growth has been consistently down ~5%. Importantly, this ~5% decline represents an improvement from the ~13% declines seen in both the March and June 2025 quarters.“
Tesla’s United States market share
Munster also estimated that Q4 as a whole might very well show a notable improvement in Tesla’s market share in the United States.
“Over the past couple of years, based on data from Cox Automotive, Tesla has been losing U.S. EV market share, declining to just under 50%. Based on data for October and November, Cox estimates that total U.S. EV sales were down approximately 35%, compared to Tesla’s just reported down 16% for the full quarter. For the first two months of the quarter, Cox reported Tesla market share of roughly a 65% share, up from under 50% in the September quarter.
“While this data excludes December, the quarter as a whole is likely to show a material improvement in Tesla’s U.S. EV market share.“
Elon Musk
Tesla analyst breaks down delivery report: ‘A step in the right direction’
“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026,” Ives wrote.
Tesla analyst Dan Ives of Wedbush released a new note on Friday morning just after the company released production and delivery figures for Q4 and the full year of 2025, stating that the numbers, while slightly underwhelming, are “better than feared” and as “a step in the right direction.”
Tesla reported production of 434,358 and deliveries of 418,227 for the fourth quarter, while 1,654,667 vehicles were produced and 1,636,129 cars were delivered for the full year.
Tesla releases Q4 and FY 2025 vehicle delivery and production report
Interestingly, the company posted its own consensus figures that were compiled from various firms on its website a few days ago, where expectations were set at 1,640,752 cars for the year. Tesla fell about 4,000 units short of that. One of the areas where Tesla excelled was energy deployments, which totaled 46.7 GWh for the year.
🚨 Wedbush’s Dan Ives has released a new note on Tesla $TSLA:
“Tesla announced its FY4Q25 delivery numbers this morning coming in at 418.2k vehicles slightly below the company’s consensus delivery estimate of 422.9k but much better than the whisper numbers of ~410k as the…
— TESLARATI (@Teslarati) January 2, 2026
In terms of vehicle deliveries, Ives writes that Tesla certainly has some things to work through if it wants to return to growth in that aspect, especially with the loss of the $7,500 tax credit in the U.S. and “continuous headwinds” for the company in Europe.
However, Ives also believes that, given the delivery numbers, which were on par with expectations, Tesla is positioned well for a strong 2026, especially with its AI focus, Robotaxi and Cybercab development, and energy:
“This will be viewed as better than feared deliveries and a step in the right direction for the Tesla story heading into 2026. We look forward to hearing more at the company’s 4Q25 call on January 28th. AI Valuation – The Focus Throughout 2026. We believe Tesla could reach a $2 trillion market cap over the coming year and, in a bull case scenario, $3 trillion by the end of 2026…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”
It’s no secret that for the past several years, Tesla’s vehicle delivery numbers have been the main focus of investors and analysts have looked at them as an indicator of company health to a certain extent. The problem with that narrative in 2025 and 2026 is that Tesla is now focusing more on the deployment of Full Self-Driving, its Optimus project, AI development, and Cybercab.
While vehicle deliveries still hold importance, it is more crucial to note that Tesla’s overall environment as a business relies on much more than just how many cars are purchased. That metric, to a certain extent, is fading in importance in the grand scheme of things, but it will never totally disappear.
Ives and Wedbush maintained their $600 price target and an ‘Outperform’ rating on the stock.
Investor's Corner
Tesla releases Q4 and FY 2025 vehicle delivery and production report
Deliveries stood at 406,585 Model 3/Y and 11,642 other models, for a total of 418,227 vehicles.
Tesla (NASDAQ:TSLA) has reported its Q4 2025 production and deliveries, with 418,227 vehicles delivered and 434,358 produced worldwide. Energy storage deployments hit a quarterly record at 14.2 GWh.
Tesla’s Q4 and FY 2025 results were posted on Friday, January 2, 2026.
Q4 2025 production and deliveries
In Q4 2025, Tesla produced 422,652 Model 3/Y units and 11,706 other models, which are comprised of the Model S, Model X, and the Cybertruck, for a total of 434,358 vehicles. Deliveries stood at 406,585 Model 3/Y and 11,642 other models, for a total of 418,227 vehicles.
Energy deployments reached 14.2 GWh, a new record. Similar to other reports, Tesla posted a company thanked customers, employees, suppliers, shareholders, and supporters for its fourth quarter results.
In comparison, analysts included in Tesla’s company-compiled consensus estimate that Tesla would deliver 422,850 vehicles and deploy 13.4 GWh of battery storage systems in Q4 2025.
Tesla’s Full Year 2025 results
For the full year, Tesla produced a total of 1,654,667 vehicles, comprised of 1,600,767 Model Y/3 and 53,900 other models. Tesla also delivered 1,636,129 vehicles in FY 2025, comprised of 1,585,279 Model Y/3 and 50,850 other models. Energy deployments totaled 46.7 GWh over the year.
In comparison, analysts included in Tesla’s company-compiled consensus expected the company to deliver a total of 1,640,752 vehicles for full year 2025. Analysts also expected Tesla’s energy division to deploy a total of 45.9 GWh during the year.
Tesla will post its financial results for the fourth quarter of 2025 after market close on Wednesday, January 28, 2026. The company’s Q4 and FY 2025 earnings call is expected to be held on the same day at 4:30 p.m. Central Time.
Tesla Q4 delivery numbers are better than they initially look: analyst
Tesla analyst breaks down delivery report: ‘A step in the right direction’
