# How to Do a Digital Detox That Sticks, According to Science

Most traditional digital detoxes fail because they rely on sheer willpower and total abstinence, triggering the same psychological rebound effects seen in extreme fad diets. Behavioral science demonstrates that sustainable unplugging requires environmental design—such as switching a smartphone to grayscale and creating physical friction—rather than punishing self-discipline. By shifting from passive consumption to intentional use, individuals can significantly reduce anxiety, reclaim focus, and improve their overall well-being without completely severing ties to the modern digital world.

## The Anatomy of Our Screen Time Crisis

The modern human brain is engaged in a daily, unequal battle against billion-dollar engineering designed to capture and monetize attention. The integration of technology into nearly every facet of daily life has created unprecedented opportunities, but it has also triggered a profound shift in human behavior and mental health. 

### The Staggering Numbers Behind the Screen

As of recent data, global internet users exceed 5.4 billion people, representing roughly 67% of the global population [cite: 1, 2]. In highly digitized nations, the metrics of connectivity are even more intense. The average American adult spends between four and a half to five hours solely on their smartphone each day [cite: 3]. When factoring in computers, tablets, and televisions used for work and leisure, total daily screen exposure can easily reach up to 10 hours [cite: 4]. 

This relentless connectivity has sparked a cultural backlash. Recent digital wellness reports indicate that 76% of people believe they spend too much time on their phones, and 73% feel their devices negatively impact their mental health [cite: 5]. The youngest generations feel this most acutely: 83% of Generation Z users admit to having an unhealthy, compulsive relationship with their devices [cite: 5]. 

### Physical Toll: From Eye Strain to "Tech Neck"

The consequences of unrestricted screen time manifest physically before they even register psychologically. Extended periods of looking at electronic devices contribute to a spectrum of physical ailments. Ergonomic health studies reveal that extended sitting and device usage contribute to 22% higher rates of back and neck pain among daily users [cite: 6]. "Tech neck," a term for posture problems caused by looking down at smartphones, affects approximately 84% of frequent users and leads to chronic pain in nearly a third of those cases [cite: 6]. Furthermore, digital eye strain—characterized by dry eyes, blurred vision, and headaches—affects 78% of people who work on computers for more than six hours daily [cite: 6, 7].

Perhaps the most insidious physical disruption involves the circadian rhythm. The blue light emitted from LED screens closely mimics natural sunlight. When consumed late in the evening, this light suppresses the pineal gland's production of melatonin, delaying sleep onset and significantly reducing sleep quality [cite: 7, 8, 9]. Poor sleep architecture prevents the brain from achieving the restorative cycles necessary for emotional regulation and cognitive recovery, compounding stress the following day [cite: 7, 9]. 

### The Cognitive Cost of Attention Fragmentation

Beyond physical discomfort, chronic connectivity alters how the brain processes information. The average digital user switches between tasks or applications hundreds of times per day [cite: 10]. Each of these micro-switches carries a "cognitive cost"—a brief attentional disruption that accumulates into what neuroscientists term "attention fragmentation" [cite: 9, 10]. 

After extended periods of typical digital media consumption, a person's capacity for sustained focus, deep problem-solving, and working memory is measurably diminished [cite: 3, 10]. Heavy media multitaskers perform significantly worse on measures of cognitive control and the ability to filter out irrelevant information compared to light multitaskers [cite: 10, 11]. For instance, multitasking between devices reduces information retention by 34% compared to single-task focus, and heavy social media users exhibit a 19% shorter attention span in non-digital activities [cite: 6]. In extreme cases, researchers note that cognitive overload and "digital dementia" can impair performance at school and work, accelerating metrics of cognitive decline [cite: 3, 12].

## Active vs. Passive Screen Time: Not All Clicks Are Equal

A critical distinction in behavioral psychology is that not all screen time is inherently harmful. Treating total screen exposure as a single, uniform metric obscures the nuances of how different digital interactions affect the brain. The consensus among researchers is that the *type* of use matters far more than the raw *duration* of use [cite: 9, 11, 13, 14].

Active screen time involves intentional, cognitively demanding, or socially connective engagement [cite: 15]. This includes creating digital art, coding, video-calling family members, or utilizing specialized tools for learning [cite: 6, 15]. Active usage often bolsters social support, builds executive function skills, and supports mental well-being [cite: 15, 16].

Passive screen time, conversely, involves consuming content with little to no cognitive effort or constructive participation [cite: 15]. This encompasses mindless scrolling through algorithmically curated social media feeds, binge-watching auto-playing videos, or consuming digital media without a specific goal [cite: 6, 15].

### The Digital Fast Food Analogy

Psychologists and behavioral economists frequently compare passive screen consumption to eating ultra-processed junk food [cite: 17, 18, 19]. Just as fast food is engineered with a hyper-palatable ratio of salt, fat, and sugar to hijack human biology, social media applications are meticulously engineered to hijack human psychology [cite: 17].

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The core mechanism at play is the "variable reward schedule." When an individual pulls down to refresh a feed, they do not know what content will appear. This unpredictability mirrors the mechanics of a slot machine [cite: 10]. The brain receives a momentary dopamine spike upon finding an engaging post or receiving a notification, which quickly fades, compelling the user to scroll further to chase the next hit [cite: 17, 19]. Like eating a heavy fast-food meal, this cycle provides instant gratification but yields no long-term cognitive sustenance, ultimately leaving the user feeling intellectually and emotionally depleted [cite: 17].

### The Data on Passive Consumption

The mental health toll of this digital junk food is highly measurable. Research indicates that passive social media consumption correlates with 45% higher anxiety levels compared to active engagement [cite: 6]. Furthermore, passive use is strongly associated with increased anger, lower self-esteem due to social comparison, and higher stress levels [cite: 9, 14]. 

A compelling behavioral study conducted at the University of Buffalo demonstrated just how potent this reinforcement loop has become. Researchers deprived college students of food for three hours and separated them from their smartphones for two hours. Participants were then given a computer task where they had to "work" (via repetitive mouse clicks or spending virtual currency) to earn either a 100-calorie portion of their favorite snack or time on their smartphone. To the researchers' surprise, the amount the students were willing to "pay" in effort to use their phones consistently outpaced the effort they expended for food [cite: 20, 21]. This firmly established that smartphone use operates as a highly potent primary reinforcer, sometimes overriding fundamental biological drives.

## Why Traditional "Cold Turkey" Detoxes Usually Fail

With the mounting evidence of screen fatigue, the "digital detox"—defined as a voluntary, temporary period of complete abstinence from digital devices—has surged in popularity as a mainstream cultural remedy [cite: 22, 23]. However, behavioral scientists and clinical psychologists warn that the standard, aggressive approach to digital detoxing is fundamentally flawed.

### The Fad Diet Rebound Effect

A traditional, absolute digital detox suffers from the exact same psychological pitfalls as a heavily restrictive fad diet [cite: 22, 24]. When an individual decides to go "cold turkey," deletes all their apps, or locks their phone in a drawer for a week, they inevitably hyper-fixate on the restriction [cite: 24, 25]. 

This is explained by "ironic process theory." When a person actively tries to suppress a thought (e.g., "I must not check Instagram"), the brain ironically monitors for that exact thought, making it surface more frequently and with greater intensity [cite: 24]. Just as a strict "no carbs" diet leaves an individual obsessing over bread, a strict digital detox leaves the user fixated on what they might be missing in their feeds [cite: 24]. 

Consequently, these extreme detoxes frequently trigger a massive rebound effect. Once the detox period concludes, or when the individual's willpower inevitably breaks, they return to their devices with heightened cravings. This often results in binge-scrolling sessions where their usage eclipses their pre-detox baselines [cite: 24, 25].

### Nomophobia and the Anxiety of Disconnection

Complete digital abstinence also ignores the reality of modern life. Most adults rely on smartphones and computers to execute their jobs, manage logistics, and maintain relationships [cite: 23, 26]. Attempting to completely unplug can trigger "nomophobia" (the fear of being without a mobile device) [cite: 23].

Returning to a device after an extended absence often unleashes a wave of severe anxiety as the user faces a massive backlog of unread emails, urgent texts, and missed notifications [cite: 23]. Furthermore, digital detoxes that rely on pure restriction fail to teach the user how to build a healthy relationship with technology. It acts as a temporary separation rather than addressing the root behaviors, meaning the user resumes their old, unhealthy habits the moment the detox ends [cite: 23].

### The Myth of Guaranteed Happiness: The Oxford Study

Another common misconception is that simply turning off a device will automatically cure anxiety and foster deep real-world connections. A landmark study conducted collaboratively by Oxford University, the University of Reading, Durham University, and The Education University of Hong Kong tested this premise directly. 

The researchers tracked participants taking a break from social media, expecting that the freed-up time would be reallocated to face-to-face socializing or fulfilling hobbies [cite: 22, 27]. Contrary to popular belief, the study found no evidence that abstaining from social media automatically improved an individual's well-being or life satisfaction [cite: 22, 27]. In fact, participants reported significantly *lower* levels of face-to-face, voice, and email interactions on the days they abstained [cite: 27]. Because they did not intentionally replace their online socializing with real-world interactions, the digital detox actually led to reduced overall interaction and increased feelings of loneliness [cite: 22, 27].

## Environmental Design Over Willpower

If cold-turkey detoxes and willpower don't work, how can individuals change their digital habits? The consensus in behavioral science points to *environmental design* [cite: 28].

A landmark study from Duke University revealed that approximately 45% of our daily behaviors are not conscious decisions, but automatic habits triggered by environmental cues [cite: 28, 29]. Willpower is a finite resource that depletes throughout the day; relying on it to resist a device designed by thousands of engineers to steal your attention is a losing battle [cite: 28, 29]. 

The most successful digital well-being strategies flip this dynamic. Instead of trying to be more disciplined, users must change their environment so that the good habit (staying focused) becomes the path of least resistance, and the bad habit (mindless scrolling) is met with deliberate friction [cite: 28, 29]. 

### The Grayscale Intervention (The 37-Minute Hack)

One of the most effective, evidence-based environmental design tweaks is incredibly simple: switching a smartphone's display to grayscale mode [cite: 28, 30, 31]. 

Tech companies utilize carefully selected, highly saturated colors to trigger emotional responses. Bright reds and yellows are specifically chosen for notification badges and app icons because they generate excitement, simulate urgency, and demand visual attention, rewarding the brain for interacting [cite: 28, 31]. 

By stripping the screen of color, the device's psychological pull is severely weakened. The brain finds a monochromatic display significantly less stimulating, which naturally interrupts the cue-response loop without requiring conscious effort [cite: 28, 31, 32]. It is the equivalent of removing the colorful candy coating from the phone, leaving only the essential utility [cite: 31]. 

Multiple controlled studies validate this approach:
*   A study tracking 84 participants found that activating grayscale mode reduced daily screen time by an average of 20 minutes (over two hours per week) and significantly lowered perceived stress and online vigilance [cite: 30, 32].
*   A longitudinal study of 161 college students found that using grayscale for 10 days reduced total screen time by an impressive average of 37.9 minutes per day, particularly cutting down time spent on web browsing and social media [cite: 33, 34].
*   Crucially, researchers note that grayscaling does not compromise the functional utility of the phone (such as checking email, viewing maps, or making calls). It simply makes the device "less gratifying," making it a highly sustainable friction tactic [cite: 32, 33].

### Physical Separation and the "Mere Presence" Effect

Friction can also be applied physically. Research shows that the mere proximity of a smartphone drains cognitive resources. In a fascinating study by researchers at the University of Essex, pairs of strangers were asked to engage in a conversation. In some cases, a mobile phone (belonging to neither participant) was placed visibly on a nearby table [cite: 23]. 

Even though the phone was silent and not theirs, the mere presence of the device inhibited interpersonal closeness, reduced feelings of empathy, and decreased the available cognitive capacity of the participants [cite: 8, 23]. The human brain must actively expend cognitive energy to monitor and suppress the urge to check a visible device. 

Therefore, experts recommend physical separation during periods requiring deep focus or connection. Moving a phone to a different room while working, or establishing device-free zones like the dinner table and the bedroom, removes both the visual proximity trigger and the need for willpower [cite: 8, 23]. 

### Comparison of Key Environmental Design Strategies

| Strategy | Mechanism of Action | Proven Efficacy & Expected Outcomes |
| :--- | :--- | :--- |
| **Grayscale Mode** | Removes vibrant, dopamine-triggering colors from the UI, making the screen visually unstimulating and strictly utilitarian. | Reduces daily screen time by 20 to 38 minutes; significantly lowers online vigilance, FOMO, and perceived stress [cite: 30, 33, 34]. |
| **Physical Separation** | Eliminates the "mere presence" effect, removing the subconscious cognitive drain of monitoring a visible device. | Enhances working memory, cognitive control, interpersonal trust, and empathy during face-to-face conversations [cite: 8, 23]. |
| **App Limiters / Blocking** | Introduces digital friction by locking apps, requiring passwords, or silencing notifications during scheduled focus blocks. | Decreases daily use by roughly 6% generally, and reduces usage of highly addictive platforms like Facebook by up to 36% [cite: 34]. |
| **Notification Batching** | Turns off real-time push alerts, delivering non-essential updates only at specific, pre-scheduled times of the day. | Reduces attention fragmentation; lowers daily stress levels associated with unrestricted email and message checking [cite: 8, 10]. |

## The Data Behind Short-Term Digital Fasts

While permanent, total abstinence is unsustainable, researchers have found that structured, short-term digital fasts can serve as an excellent "reset" for the brain. Rather than a lifetime ban, stepping away for a highly defined period allows the nervous system to recover from constant variable reward stimuli.

### The One-Week Social Media Reset

A landmark clinical study published in *JAMA Network Open* tracked young adults to measure the specific mental health impacts of a brief, targeted intervention. Researchers monitored 373 participants for a two-week baseline observational period, tracking their usage via smartphone sensing apps [cite: 35, 36]. During baseline, participants averaged roughly 1.9 hours of social media use per day [cite: 35, 36]. 

This was followed by an optional one-week social media detox targeting five highly addictive platforms: Facebook, Instagram, Snapchat, TikTok, and X (formerly Twitter) [cite: 35]. During the detox week, participants successfully slashed their social media use down to an average of just 30 minutes a day [cite: 35, 36]. Interestingly, total overall screen time stayed relatively flat—meaning participants shifted their phone use to healthier, more utilitarian functions rather than abandoning their devices entirely [cite: 36].

The mental health results of this brief, one-week intervention were rapid and clinically significant.

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The Harvard researchers leading the study emphasized that even those who "cheated" slightly and broke the rules after a few days still experienced positive lingering effects [cite: 3]. This underscores that perfection is not required; simply achieving a state of partial, mindful reduction yields profound psychological relief [cite: 3].

### The 48-Hour Weekend Fast

For those who cannot commit to a week-long reduction, targeted weekend fasts offer substantial benefits. A structured 48-hour period without optional digital media acts as a cognitive recovery practice supported by the neuroscience of attention [cite: 10]. 

During a 48-hour digital detox weekend, individuals experience a predictable physiological progression. The first four to eight hours are usually marked by restlessness and phantom notification impulses as the nervous system withdraws from habitual variable rewards [cite: 10]. However, by the end of day one, cortisol levels typically begin declining—dropping by as much as 23% in some studies—and most people report increased environmental awareness and improved social presence [cite: 6, 10]. By day two, the capacity for sustained attention begins recovering, leaving individuals feeling cognitively refreshed and significantly less fragmented heading into Monday morning [cite: 10].

## The Role of Technology in Managing Technology

Ironically, one of the most effective ways to manage digital addiction is to fight software with software. A booming market of digital well-being solutions is expected to grow from $1.17 billion in 2025 to over $3.6 billion by 2033, driven by users seeking structural interventions [cite: 37]. 

App-based interventions generally fall into seven functional categories: self-tracking, social tracking, goal setting, blocking, gamification, simplification (like grayscale), and assessment [cite: 34]. 

*   **Self-Tracking and Goal Setting:** Features built into native operating systems (like Apple's Screen Time or Android's Digital Wellbeing) provide users with confronting data about their usage. A review of these apps showed that setting daily limits on specific applications significantly reduces maladaptive mobile phone use (MMPU) and decreases the Fear of Missing Out (FoMO) [cite: 34]. 
*   **Gamification and Redirection:** Apps like *Forest* utilize gamification to reward users for staying off their phones; when a user initiates a focus session, a digital tree grows, but if they leave the app to scroll social media, the tree dies [cite: 34]. Other apps, like *Nomie*, focus on redirection rather than restriction. When the urge to doom-scroll hits, these tools offer somatic exercises or mindfulness tools that satisfy the brain's craving for stimulation without dysregulating the nervous system [cite: 25]. User sentiment for these gamified apps is overwhelmingly positive, with sentiment scores reaching up to 86 out of 100 [cite: 34].

## The Rise of the Digital Detox Tourism Economy

As screen fatigue becomes recognized globally as both a psychological and occupational health hazard, a massive offline market has emerged to help people forcefully disconnect. The global digital detox tourism market, valued at $2.8 billion in 2025, is projected to surge to $466.5 billion by 2034 as societal demand for restorative travel reaches a breaking point [cite: 38, 39].

Digital detox tourism offers structured travel experiences—ranging from luxury wellness resorts to minimalist, off-the-grid cabins—where electronic devices are intentionally restricted, surrendered, or rendered useless due to lack of signal [cite: 38, 40, 41]. By physically removing the option of connectivity, these retreats allow individuals to bypass the need for personal willpower entirely. Visitors are instead forced to immerse themselves in nature-based activities, mindfulness meditation, physical exertion, and unmediated social interactions [cite: 39]. 

### Regional Trends in Digital Disconnection

The demand for these experiences, while global, exhibits unique characteristics and growth drivers across different regions, shaped heavily by local cultural norms and workplace connectivity pressures.

| Region | Market Dynamics & Cultural Context | Growth & Future Outlook |
| :--- | :--- | :--- |
| **North America** | Held the largest market share in 2025 (accounting for 36.2% to 49.8% of global revenue). This dominance is driven by high rates of corporate burnout, stress-related illnesses, and robust employer investments in wellness programs [cite: 37, 38, 40]. | Expected to maintain a steady, mature growth rate (approx. 10.4% CAGR). The US leads the region, heavily supported by a proactive wellness tourism ecosystem and early adoption of structured retreats [cite: 37, 38, 40]. |
| **Europe** | The second-largest regional market (capturing approx. 29.7% of global revenues in 2025). Driven by high consumer demand for offline experiences; 64% of surveyed Europeans prefer human recommendations over algorithms, and 60% prioritize offline activities to balance screen time [cite: 38, 42]. | Strong demand for holistic wellness and workplace integration. Hubs in the UK, Germany, Austria, and Scandinavia popularize eco-conscious retreats combining thermal spa culture and alpine wellness [cite: 37, 38]. |
| **Asia Pacific** | A booming market driven by rapid urbanization, rising disposable incomes, and tech-savvy younger populations seeking restorative breaks from highly digitized urban environments [cite: 37, 38, 41]. | Positioned as the fastest-growing region globally, with projected CAGRs ranging from 14.3% to 24.9%. Led by Japan’s culturally rooted *shinrin-yoku* (forest bathing) traditions, which attract international wellness tourists [cite: 38, 40]. |

This push for offline experiences spans generations but is particularly acute among younger demographics. Millennials represent the largest age group segment in the digital detox tourism market (42.1%) [cite: 38]. Furthermore, a sweeping survey of UK residents revealed that while the national average for intentionally taking a digital detox is 37%, that figure rockets to 55% among Gen Z consumers, who are highly self-aware of the anxiety caused by their digital environments [cite: 26].

## The Long-Term Reality: What Remains Uncertain

While the short-term benefits of reducing screen time are well-documented, the long-term reality of maintaining a digital detox remains clouded by scientific uncertainty. 

The primary limitation in current digital well-being research is the lack of robust longitudinal data. Most peer-reviewed studies to date involve relatively small sample sizes and brief intervention windows, typically tracking participants for one to four weeks [cite: 12, 43]. Researchers acknowledge that assessing the long-term effectiveness, sustainability, and relapse rates of these interventions at the six-month or one-year mark is currently difficult due to a lack of standardized measurement tools and long-term funding [cite: 12]. 

Furthermore, while a digital detox undeniably reduces acute depressive symptoms and anxiety in the short term, its impact on broader, more complex outcomes like overall "life satisfaction" and "eudaimonic well-being" (purposeful living) remains highly variable [cite: 12, 44, 45]. It is not yet clear whether the benefits observed in a controlled two-week study translate to permanent behavioral shifts in a society that increasingly mandates digital participation for daily functioning. Scholars agree that personalized approaches—such as addressing specific relationship dynamics (like partner "phubbing") or focusing on digital literacy—are much more likely to yield sustainable life changes than blanket bans [cite: 12]. 

## Bottom line

A successful digital detox is not an exercise in punishing self-discipline, but a deliberate process of environmental design. By shifting from passive scrolling to active use and introducing friction points—such as grayscale screens and physical device separation—individuals can break the dopamine loop without abandoning the digital world entirely. While clinical studies prove that even a brief, one-week reduction can rapidly alleviate symptoms of depression and anxiety, long-term longitudinal data is still needed to determine how to sustain these habits over years. Ultimately, the goal is to stop treating technology as an all-you-can-eat buffet and start managing it as a tool that serves, rather than consumes, your mental well-being.

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59. [JMIR: Digital Lifestyle Interventions Effectiveness](https://www.jmir.org/2025/1/e56975)
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61. [JMIR Mental Health: Workplace Digital Interventions](https://mental.jmir.org/2025/1/e67785)
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65. [Michigan State University: Digital Technology and Mental Health](https://www.canr.msu.edu/news/digital_technology_and_mental_health)
66. [MK.co.kr: Screen Time and Depression Risk](https://www.mk.co.kr/en/it/11996702)
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68. [Polaris Market Research: Digital Detox Tourism Services Press Release](https://www.polarismarketresearch.com/press-releases/digital-detox-tourism-services-market)
69. [OpenPR: Digital Detox Tourism Services Market Expected to Grow](https://www.openpr.com/news/4019403/digital-detox-tourism-services-market-is-expected-to-grow-at)
70. [Business Review: Europeans Seeking More Offline Experiences](https://business-review.eu/lifestyle/europeans-seeking-more-offline-experiences-this-summer-as-digital-fatigue-grows-study-296092)
71. [DataIntelo: Digital Detox Tourism Market Regional Breakdown](https://dataintelo.com/report/digital-detox-tourism-market)
72. [Stock Market Rebound News](https://qresear.ch/?q=apple)
73. [PMC: Problematic Social Media Use Reductions](https://pmc.ncbi.nlm.nih.gov/articles/PMC12645342/)
74. [PMC: Sustainability of Digital Detox Habits](https://pmc.ncbi.nlm.nih.gov/articles/PMC11871965/)
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41. [openpr.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFuZXOYNlVhPrmUuh54lLB8SF1DThUfSeeadqKuGo-eDMtxMtEe1wuP2xqzC4et_lzfEF1Ul5f_-3m7p8n4UpiCkI7es6Iophoewl7r9GI9aB1tYY9Wd8iphciqo95F_9J3C2tOvpoaAQPVs7cZZzhl9miE2ytaUQIOV96iRV3b_XLLIvo5zWGTMPjKBB0I2uNykA85PY8=)
42. [business-review.eu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEZUSbFnIl4SUOBdCiYTIdqL8fCddhBHpRHGlAqpr_82gnHPWGSPjEy17iaWUKJ3AElP7eNycVj7RK8_pZhgJRpY5N9cOHGwF9-Edxn2I8FFd4KYhuc8V7-Ut_e1mJ4V00tXRoh9hc_dBNiwx5rzOxCEZz2ssUOZEjdKvvWtPWO9AaIdWqjim3uy0XA96w-pE5Cf48LZI4j1HWMCbYBlnKeor8pHfT-Weoqrh1Rb3eF5re3Dij8imix)
43. [researchprotocols.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHNN-21lZ18Nt_WvFnETE2rTNT4dvVdS6izgVeqAv50l0x06DljWC9_LUwgZHuNXDbs_KUFeBlxUtVkrJFoVMPkf_MGf-ftlfekPaDuMouGpTR29zZrJ6YN4_WJzdQ89ztHWV-W5O4=)
44. [semanticscholar.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF9g4ud9DouHd8lYOA52haht9hlwaXOoM6LmBxstYa4pmQ6Fs8PIALeGsYLxL2Gp4yDickDgZiubQb0KoIiyDwDgrZFZFGLgRAfvZZtEcL_KKWeB4kg49UKvEIU8tGunTeWZ72FxGkvGKNrI2WpTc5RjVS-2W6hLJIl7IzChglLlV6Gs8_X_3pzTzHg06kMSnKkzxZNOLC2EA7Ei2Msf13zWhnyWkAeWKnQtfT-FS8qnvtwwg8Mih_k47qPRsGkKBknZdD8FPYAbO-8RA==)
45. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH37NjaRF2Eo7UoiGgeyy9dMGUfbrRakMyNO1DIcyVlJKMYZA62hmCr421aV3E_iVuWKLKFFzeZFsvBTg6AtzCKSa6m9pVBs-bohx2ljje9dOQg42-BuOcDwoqcB2cOylg9a2z8h0BU2Q==)